Applied Computer Vision (3-0-0)
Course Details:

1. Introduction to Computer Vision, Early Vision, Mid-level Vision, High-level Vision, Applications
2. Image Formation, Pin-hole cameras, Paraxial geometric optics
3. Geometric Camera Models, Camera Calibration
4. Color Perception
5. Linear Filters, Edge detection
6. Geometry of multiple views, Stereopsis
7. Segmentation
8. Tracking
9. Model based Vision
10. Content based retrieval, Image based rendering

Suggested Text Books
a. Forsyth and Ponce, Computer Vision - A Modern Approach