1. Image representations: data structures, pixels, and colormaps
Application: Combining images of varying contrast
2. Lighting and reflectance models
Applications: Photometric stereo, illumination invariant recognition of faces.
3. Filtering: spatial domain
Application: "corners", good features to track
Filtering: frequency (Fourier) domain
Applications: image subsampling, JPEG image compression
4. Motion (spatial and Fourier analysis)
Applications: optical flow, motion segmentation
5. 3D geometry and structure
Applications: stereo depth recovery, image compositing
6. Object Recognition and Indexing
Application: PCA for object recognition