16.581 Computer Vision and Digital Image Processing

Computer Vision and Digital Image Processing

Course Details
Min Credits 3
Max Credits 3
Course ID 3315
Status Active

Introduces the principles and the fundamental techniques for Image Processing and Computer Vision. Topics include programming aspects of vision, image formation and representation, multi-scale analysis, boundary detection, texture analysis, shape from shading, object modeling, stereo-vision, motion and optical flow, shape description and objects recognition (classification), and hardware design of video cards. AI techniques for Computer Vision are also covered. Laboratories include real applications from industry and the latest research areas.