CIS 432 - Computer Vision

Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3

Covers concepts, methodologies, and applications in computer vision. Topics include image filtering, optical flow, feature description, stereo imaging, image pyramid, segmentation, recognition, search, tacking, image encryption and decryption, applications such as in self-driving, robot navigation, facial recognition, medical imaging analysis, and material characterization. Prerequisite(s): CIS 331 with a minimum grade of C, CIS 211 with a minimum grade of C.