Computer Science
CS 5330: Pattern Recognition and Computer Vision
Lecture - 4 credits
ND
EI
IC
FQ
SI
AD
DD
ER
WF
WD
WI
EX
CE
- 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, and cyclopean vision).
- Requires knowledge of linear algebra.
Introduces fundamental techniques for low-level and high-level computer vision. Show more.
Pre-requisites