Computer Vision

Undergraduate catalogue

This course is an introduction to the concepts of 2D and 3D computer vision. It surveys a wide range of topics from level-level vision to high-level recognition. We will discuss concepts such as filtering and edge detection; cameras and shape reconstruction; segmentation and clustering; optical flow and tracking; object recognition; motion recognition; and statistical modeling of visual data. Throughout the course, there will also be an examination of aspects of human vision and perception that guide and inspire computer vision techniques. Prerequisites: COS 217, COS 226, and COS 324 (or equivalent).