CSSE 463 - Image Recognition
- Credit Hours: 4R-0L-4C
- Term Available: W
- Graduate Studies Eligible: No
- Prerequisites: MA 212 Junior standing and programming experience
- Corequisites: None
Introduces statistical pattern recognition of visual data; low-level visual feature extraction (color, shape, edges); clustering and classification techniques. Applies knowledge to various application domains through exercises, large programming projects in Matlab, and an independent research project. Familiarity with probability distributions will be helpful, but not required.