 | Graduate Course Descriptions
CSE252 - Computer Vision
(Formerly CSE 281M)
Units: 4
Course Description:
Illuminant, surface, and camera models. The role of irradiance, chrominance, stereo disparity, optical flow, and texture in computing interpretations of images. Edge detection, image segmentation, local and global constraints from segment boundaries. Object representations and algorithms for recognition. Extremum problems in vision, including regularization and maximum-likelihood techniques. Relation to human vision.
Prerequisites:
Math. 2ABCDE or equivalent. (S/U grades permitted.)
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