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CSCI 5722 (3). Computer Vision

Explores algorithms that can extract information about the world from images or sequences of images. Topics covered include: imaging models and camera calibration, early vision (filters, edges, texture, stereo, optical flow), mid-level vision (segmentation, tracking), vision-based control, and object recognition. Prerequisites: Recommended: probability, multivariate calculus, and linear algebra.

CU Catalog:

Coordinator: James Martin

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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May 5, 2012 (14:25)
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