CSC 295-02 - Special Topic: Computer Vision

4 credits (Fall)

How can we make computers understand images? This course covers principles in computational vision and their relationship to human visual perception. Topics include geometry of image formation, image filtering, motion, texture analysis, shape fitting, 3-D reconstruction, image segmentation, image descriptors, and object and scene recognition. Students implement and test algorithms on real images in programming exercises and a student-proposed final project.

Prerequisite: CSC 161, or CSC 151 and MAT 215.
Instructor: Weinman