| Aug 21, 2008 |
Computer Vision EECS 442
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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. [More Info] |
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