CS 378 / 395T: Computer Vision
Syllabus overview
I. Image formation and features
- Image formation, cameras
- Color
- Linear filters
- Edge detection
- Image pyramids
- Texture
II. Grouping
- Fitting lines and curves
- Robust fitting, RANSAC
- Hough transform
- Segmentation
- Clustering
III. Multiple views
- Stereo
- Local invariant features
- Affine structure from motion
IV. Recognition and learning
- 2D recognition
- Bags of words representations
- Feature indexing and verification
- Shape matching
- Nearest neighbors
- Support vector machines
- Boosting
V. Motion and
tracking
- Optical flow
- Tracking
- Video analysis
- Human body pose estimation