« previous | Tuesday, April 29, 2014 | next »
Final Exam Review
Shadows, Collision Detection, Programmable Shaders, Quaternions, and Antialiasing will not be on the final.
Subjects:
- Shading / Texturing
- Hidden Surfaces
- Ray Tracing
- 3D Geometry
- Radiosity
- Solid Modeling
- Smooth Curves
- Smooth Surfaces
- Topics covered by assignments
Cumulative final, but less likely to ask questions that were asked on the midterm.
No code.
Interpolation of Normals
Linear interpolation:
- origin to point on straight line between two points
Spherical linear interpolation
- interpolate over angle
between origin and endpoints



