Week 1: Fundamentals of Image processing
Week 2: 2-D Projective Geometry, homography, and Properties of homography
Week 3: Camera geometry
Week 4: Stereo geometry
Week 5: Stereo geometry
Week 6: Feature detection and description
Week 7: Feature matching and model fitting
Week 8: Color processing
Week 9: Range image processing
Week 10: Clustering and classification
Week 11: Dimensionality reduction and sparse representation
Week 12: Deep neural architecture and applications
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