hpcwiki - User contributions [en]

CG: Course final projects

2015-06-02T11:54:33Z

Jvictorinog: /* Required Data */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Visualize the terrain mesh (10%)
# Implement illumination and material model, implement color palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-lines algorithm (10%)
# Final delivery (20%)

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]
* Shorelines south-America (coast lines, river lines)
* Terrain elevation model palette

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
This project is intended to provide real-time third person (avatar) visualization of human movement according to the actual behaviour of people interacting with a Computer Vision (Kinect) system. The resulting tool will support physical and cognitive rehabilitation based on visual feedback (virtual environments and activities).

=== Objectives ===
* Load a mesh surface representing the human body
* Create a realistic visualization using basic textures (skin, hair, clothes)
* Create and implement a virtual gym where the avatar will perform real-time acquired movement
* Fit the human body mesh with the movement of an articulated model build upon human silhouette acquired via Kinect (c) (OpenFrameworks wrapper).

=== Data ===
* Articulated model structure and dynamics (specification in C++)
* Human body mesh surface (with textures)

=== Midterm products ===
* Basic avatar specification and rendering code
* 3D scene (virtual gym) specification and rendering code, implementing basic avatar geometric transformations
* Interface for articulated model movement acquisition and rendering test
* Complete application: 3D avatar moving across the virtual gym according to Kinect human motion capture

== 6. Particle system animation according to vector fields ==

[[File:particle.png|thumb|180px|Particle system, climate]]
[[File:particle3.jpg|thumb|180px|Particle system, wind]]
[[File:particle4.jpg|thumb|180px|Particle system, smoke]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
* Implement a algorithm for move a particle system given a 3D vector field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to wind velocity.
* Implement a navigation scheme airplane based.
* Design widget to control of time animation.

=== Revisions ===
# Formulation problem, methodology and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Implement widget to change the timestep and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-02T11:41:34Z

Jvictorinog: /* 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Visualize the terrain mesh (10%)
# Implement illumination and material model, implement color palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-lines algorithm (10%)
# Final delivery (20%)

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]
* Shorelines south-America (coast lines, river lines)
* Palette

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:particle.png|thumb|180px|Particle system, climate]]
[[File:particle3.jpg|thumb|180px|Particle system, wind]]
[[File:particle4.jpg|thumb|180px|Particle system, smoke]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
* Implement a algorithm for move a particle system given a 3D vector field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to wind velocity.
* Implement a navigation scheme airplane based.
* Design widget to control of time animation.

=== Revisions ===
# Formulation problem, methodology and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Implement widget to change the timestep and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-02T11:33:29Z

Jvictorinog: /* 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Revisions ===
# Implement a algorithm for build a mesh 3D given digital elevation terrain
# Build a scene which is composed by a map and a 3D scalar field over the map.
# Management a color palette related to field intensity.
# Propose a material and illumination model
# Implement a navigation scheme airplane based.
# Design widget to change the field value.

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]
* Shorelines south-America (coast lines, river lines)
* Palette

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:particle.png|thumb|180px|Particle system, climate]]
[[File:particle3.jpg|thumb|180px|Particle system, wind]]
[[File:particle4.jpg|thumb|180px|Particle system, smoke]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
* Implement a algorithm for move a particle system given a 3D vector field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to wind velocity.
* Implement a navigation scheme airplane based.
* Design widget to control of time animation.

=== Revisions ===
# Formulation problem, methodology and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Implement widget to change the timestep and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-02T11:23:45Z

Jvictorinog: /* 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Revisions ===

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]
* Shorelines south-America (coast lines, river lines)
* Palette

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:particle.png|thumb|180px|Particle system, climate]]
[[File:particle3.jpg|thumb|180px|Particle system, wind]]
[[File:particle4.jpg|thumb|180px|Particle system, smoke]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
* Implement a algorithm for move a particle system given a 3D vector field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to wind velocity.
* Implement a navigation scheme airplane based.
* Design widget to control of time animation.

=== Revisions ===
# Formulation problem, methodology and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Implement widget to change the timestep and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-01T23:35:44Z

Jvictorinog: /* 6. Particle system animation according to vector fields */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:particle.png|thumb|180px|Particle system, climate]]
[[File:particle3.jpg|thumb|180px|Particle system, wind]]
[[File:particle4.jpg|thumb|180px|Particle system, smoke]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
* Implement a algorithm for move a particle system given a 3D vector field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to wind velocity.
* Implement a navigation scheme airplane based.
* Design widget to control of time animation.

=== Revisions ===
# Formulation problem, methodology and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Implement widget to change the timestep and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

File:Particle4.jpg

2015-06-01T23:33:37Z

Jvictorinog:

File:Particle3.jpg

2015-06-01T23:12:35Z

Jvictorinog:

File:Particle.png

2015-06-01T23:11:29Z

Jvictorinog:

CG: Course final projects

2015-06-01T23:11:04Z

Jvictorinog: /* 6. Particle system animation according to vector fields */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:particle.png|thumb|180px|Iso-Surface, climate]]
[[File:particle2.jpg|thumb|180px|Iso-surface, tomography]]
[[File:particle3.jpg|thumb|180px|Iso-surface, Magnetic resonance]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
* Implement a algorithm for move a particle system given a 3D vector field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to wind velocity.
* Implement a navigation scheme airplane based.
* Design widget to control of time animation.

=== Revisions ===
# Formulation problem, methodology and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Implement widget to change the timestep and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-01T23:00:36Z

Jvictorinog: /* 6. Particle system animation according to vector fields */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
* Implement a algorithm for move a particle system given a 3D vector field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to wind velocity.
* Implement a navigation scheme airplane based.
* Design widget to control of time animation.

=== Revisions ===
# Formulation problem, methodology and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Implement widget to change the timestep and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-01T22:57:46Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
*

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-01T22:49:22Z

Jvictorinog: /* 6. Particle system animation according to vector fields */

Final projects proposed for the inter-semestral version (2015) of the Computer Graphics course in the Universidad Central

== 1. Digital Elevation Model rendering including projected smoothed coastal, political and hydrographic lines ==

[[File:relieve.png|thumb|200px|Top view elevation map with isolines. Source: Google Maps]][[File:FractalDEM.png|thumb|200px|Fractal elevation map with ad hoc palette-]]The goal of this project is the rendering and navigation of a digital terrain elevation model generated from real data (Global 30 Arc-Second Elevation (GTOPO30) data, resolution: <math>30 \texttt{m}^{2}</math>), applying a predefined palette according to the elevation of each particular region. The render process should consider an illumination model and 3D projected overlays (iso-, political, coastal and hydrographical lines)

=== Objectives ===
* Implement an algorithm for elevation mesh generation from GTOPO30 data
* Design a model for palette index assignation according to the elevation of each vertex
* Propose an illumination model for landscape rendering (outdoors)
* Implement an algorithm to display overlays according to line projection over the 3D surface
* Design and implement a real-time navigation model over the generated relief

=== Required Data ===
* Global 30 Arc-Second Elevation (GTOPO30) [https://lta.cr.usgs.gov/GTOPO30]

== 2. Volume rendering of 3D climate variable fields ==

[[File:volrend.png|thumb|180px|Volume rendering sample]]
[[File:volrend2.jpg|thumb|180px|Volume rendering sample]]
[[File:volrend4.jpg|thumb|180px|Advance volume rendering]]The aim of this project is the rendering and navigation a 3D field. This is visualization by applying a palette which establish what objects or structures may be seen. The user can choose a palette of a set predefined of these. The main idea is to enhance the visualization of different structures depending of the selected palette.

=== Objectives ===
* Implement a algorithm for volume rendering given a 4D scalar field
* Build a scene which is composed by a map and a 3D fluid field over the map.
* Implement a collection of RGBA color palettes.
* Design widget to control of time animation.
* Propose a system to select a predefined palette.
* Implement a navigation scheme airplane based.

=== Revisions ===
# Formulation problem, Methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 4D, palettes) (10%)
# Management of collection palette (10%)
# Implement Volume rendering strategy (10%)
# Redefinition of camera model and data allocation (10%)
# Final delivery (20%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* Given palettes pre-designed collection

== 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]
The aim is to build and rendering a mesh given a field 3D. The render of the mesh, should include a illumination scheme, material modeling, and the use of a color palette, in order to view a advanced visualization of a vector field 3D.

=== Objectives ===
* Implement a algorithm for build a iso-surface mesh given a 3D scalar field
* Build a scene which is composed by a map and a 3D scalar field over the map.
* Management a color palette related to field intensity.
* Propose a material and illumination model
* Implement a navigation scheme airplane based.
* Design widget to change the field value.

=== Revisions ===
# Formulation problem, methodoly and class diagram (10%)
# Scenario (parser of datafiles: shorelines, field 3D, palettes) (10%)
# Implement illumination, material model, and management of collection palette (10%)
# Redefinition of camera model (10%)
# Implement a iso-surface algorithm (10%)
# Final delivery (20%)
# Management of collection palette (10%)

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 3D (XX latitudes, YY longitudes, and ZZ levels)
* Given a palette for field intensity

== 4. Cloud generation, rendering and optical properties simulation ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 5. Rendering and animation of hierarchical articulated models (case study: human skeleton from Kinect realtime video) ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 6. Particle system animation according to vector fields ==

[[File:isosurf5.gif|thumb|180px|Iso-Surface, climate]]
[[File:isosurf3.png|thumb|180px|Iso-surface, tomography]]
[[File:isosurf.gif|thumb|180px|Iso-surface, Magnetic resonance]]The aim is to create a system of particles which begin in a random position and they move in a direction determined by a wind field 3D. The program receive an array of 3D vector data which correspond to wind information in each point of the space. Each particle, given its position, move in pre-defined direction by wind vector, which is interpolated from near values to the particle position. The color of each particle depend of its scalar velocity. When the timestep is changed the particles follow to new wind field associated.

=== Objectives ===
*

=== Data ===
* Shorelines of south-America and Caribbean.
* Field 4D (XX latitudes, YY longitudes, ZZ levels, and TT timestep)
* A palette related to velocity of the wind

== 7. Advanced rendering with local texture mapping ==
TODO: (Hugo)

=== Objectives ===
* ...

=== Data ===

== 8. Human brain tractography from diffusion tensor data (MRI) ==
TODO: (Jorge)

=== Objectives ===
* ...

=== Data ===

CG: Course final projects

2015-06-01T22:13:47Z

Jvictorinog: /* 6. Particle system animation according to vector fields */

CG: Course final projects

2015-06-01T20:25:13Z

Jvictorinog: /* 6. Particle system animation according to vector fields */

CG: Course final projects

2015-06-01T20:21:46Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T20:15:28Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T20:04:31Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T20:00:10Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T19:58:11Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T19:53:55Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T19:43:13Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T19:38:19Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T19:37:06Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

File:Isosurf.gif

2015-06-01T19:36:05Z

Jvictorinog:

CG: Course final projects

2015-06-01T19:35:27Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

File:Isosurf3.png

2015-06-01T19:33:42Z

Jvictorinog:

CG: Course final projects

2015-06-01T19:32:37Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

File:Isosurf5.gif

2015-06-01T19:29:47Z

Jvictorinog:

CG: Course final projects

2015-06-01T19:27:11Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T19:17:24Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T19:03:22Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T18:59:35Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T18:59:11Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T18:57:50Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

File:Volrend4.jpg

2015-06-01T18:57:26Z

Jvictorinog:

CG: Course final projects

2015-06-01T18:37:33Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T17:10:36Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T17:09:43Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T17:09:12Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

File:Volrend2.jpg

2015-06-01T17:08:31Z

Jvictorinog:

CG: Course final projects

2015-06-01T17:07:07Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T17:05:43Z

Jvictorinog: /* 3. Construction and rendering of 3D iso-surfaces from volumetric scalar and vector fields */

CG: Course final projects

2015-06-01T17:00:41Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

CG: Course final projects

2015-06-01T16:57:20Z

Jvictorinog: /* 2. Volume rendering of 3D climate variable fields */

File:Volrend.png

2015-06-01T16:55:47Z

Jvictorinog:

CG: Course final projects

2015-06-01T16:52:59Z

Jvictorinog: /* Data */

CG: Course final projects

2015-06-01T16:47:17Z

Jvictorinog: /* Objectives */

CG: Course final projects

2015-06-01T16:44:41Z

Jvictorinog: /* Objectives */

CG: Course final projects

2015-06-01T16:41:47Z

Jvictorinog: /* Objectives */

CG: Course final projects

2015-06-01T16:39:16Z

Jvictorinog: /* Objectives */

CG: Course final projects

2015-06-01T16:32:05Z

Jvictorinog: /* Description */