CS 4330: Computer Vision
Syllabus
- introduction
- what is CV?
- a brief history
- optics
- image geometry
- camera models, projections
- stereo
- color
- imaging systems and hardware
- image properties
- still image features
- linear filters, convolution
- edges, curves, shapes, lines, angle detection
- regions
- segmentation
- texture
- pyramids
- image sequences, video
- optical flow
- Kalman filter
- particle filters
- structure from motion
- calibration, fundamental matrix
- classification and learning
- k-means
- neural nets
- SVM
- PCA (Eigenfaces, ASM, AAM)
- belief propagation
- image databases
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