The course will focus on algorithms used in computer vision applications while explaining the pattern recognition aspect of these algorithms. Topics include Taxonomy of computer vision tasks, applications of computer vision, image representation in the spatial and frequency domains, image formation, image filtering, feature detection and matching, image segmentation, image classification, object detection, image alignment and stitching, motion estimation and tracking, depth estimation, and deep learning for computer vision.
Grad Scheme
Letter
Prerequisite Courses