CMSC 35500 - Computer Vision

Institution:

University of Chicago

Subject:

Description:

PQ: Consent of instructor. This course covers deformable models for detecting objects in images. Topics include one-dimensional models to identify object contours and boundaries; two-dimensional models for image matching; and sparse models for efficient detection of objects in complex scenes. Mathematical tools needed to define the models and associated algorithms are developed. Applications include detecting contours in medical images, matching brains, and detecting faces in images. Neural network implementations of some of the algorithms are presented, and connections to the functions of the biological visual system are discussed. Y. Amit. Winter.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.UCHICAGO.EDU

Phone Number:

(773) 702-1234

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Quarter

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