Number of Weeks | Topics |
---|---|
1 | Introduction to the course; Data sources and representations; Information versus understanding |
1 | Brief survey of information visualization; census data |
1 | Introduction to Vtk and Itk |
1 | Data Mappings, Human perception and Cognition |
3 | Scalar Visualization: 2D scalar visualization; Transfer function design; Segmentation and Feature Extraction; Orthogonal and Oblique slice-planes; Iso-contouring approaches; Direct volume rendering (ray-casting, 3D Texture slicing, Splatting, Cell Projection). |
2 | Flow Visualization: 2D vector field visualization; Advection-based techniques; Flow texture synthesis; Critical point extraction; Examples of flow features such as swirl. |
1 | Data Management and Large scale visualization: managing the complexity. |
Lab | Lab Topic |
---|---|
1 | Write a program using Vtk and Itk to extract and display a slice through a three-dimensional data set. |
2 | Implement a volume renderer |
3 | Implement a program to visualize a vector field using either advection techniques or texture synthesis. |
4 | Final Project: Student choice. |
Lab Assignments |
40%
|
---|---|
Midterm Exam |
30%
|
Final Exam |
30%
|