ECSE 415 — Introduction to Computer Vision

Name: ECSE 415 — Introduction to Computer Vision
Rating: 3.77 (77 reviews)

An introduction to the automated processing, analysis, and understanding of image data. Topics include image formation and acquisition, design of image features, image segmentation, stereo and motion correspondence matching techniques, feature clustering, regression and classification for object recognition, industrial and consumer applications, and computer vision software tools.

Rating: 3.77 out of 5 from 77 student reviews
Difficulty: 3.73 out of 5
Credits: 3
Faculty: Faculty of Engineering
Department: Electrical & Computer Engr
Prerequisite(s):(ECSE 206 or ECSE 316) and ECSE 205.