Graduate Computer Science

CS G144: Pattern Recognition and Computer Vision

Introduces fundamental techniques for low-level and high-level computer vision. Examines image formation, early processing, boundary detection, image segmentation, texture analysis, shape from shading, photometric stereo, motion analysis via optic flow, object modeling, shape description, and object recognition (classification). Discusses models of human vision (gestalt effects, texture perception, subjective contours, visual illusions, apparent motion, mental rotations, cyclopean vision).
Prerequisites:
Linear Algebra MS: Graphics
Credit hours: 4
Course offerings: