9.913
Pattern Recognition for Machine Vision
Fall 2004
Topics
- Overview, Introduction
- Vision - Image Formation and Processing
- Vision - Feature Extraction I
- PR/Vis - Feature Extraction II/Bayesian Decisions
- PR - Density Estimation
- PR - Classification
- Biological Object Recognition
- PR - Clustering
- Paper Discussion
- App I - Object Detection/Recognition
- App II - Morphable Models
- App III - Tracking
- App IV - Gesture and Action Recognition
- Project Presentation
Readings
- Duda, Richard O., Peter E. Hart, and David G. Stork. Pattern classification . 2nd ed. New York, NY: Wiley, 2001. ISBN: 0471056693.
- Forsyth, David A., and Jean Ponce. Computer Vision: a Modern Approach . Upper Saddle River, NJ: Prentice Hall, 2003. ISBN: 0130851981.
- Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction: with 200 full-color illustrations . New York, NY: Springer, c2001. ISBN: 0387952845.
Sources
- Course catalogue ↗Historical OpenCourseWare
- MIT OCW syllabus ↗
- MIT OCW calendar ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.