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Computer Vision EECS 442

Term: Fall 2008
Course No.: 442
Credit Hours: 4
Instructor: Prof. Savarese
Prerequisites: Linear algebra; some knowledge of probability & statistics; MATLAB

Course Description:
The course is an introduction to 2D and 3D computer vision. Topics include:cameras models, the geometry of multiple views; shape reconstructionmethods from visual cues: stereo, shading, shadows, contours; low-levelimage processing methodologies such as edge detection, feature detection;mid-level vision techniques (segmentation and clustering); Basic high-levelvision problems: face detection, object and scene recognition, objectcategorization, and human tracking.
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