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CSCI 3343 Computer Vision (Fall: 3 )

Course Description

Computers are gaining abilities to "see" things just like our vision system. Face recognition has been embedded in almost all the digital cameras. Car detection and tracking have been used in self-driving vehicles. Modern search engines are not only able to find similar text patterns but also able to search for similar objects in huge image database. This course is to introduce principles and computational methods of obtaining information from images and videos. Topics include image processing, shape analysis, image matching, segmentation, 3D projective geometry, object tracking, human pose and action, image retrieval, and object recognition.

Instructor(s): Hao Jiang

Prerequisites: CSCI1102. CSCI1102 Computer Science II, MATH2202 Multivariable Calculus, MATH2210 Linear Algebra.

Cross listed with:

Comments: No image processing and Matlab experiences are required.

Last Updated: 24-Jun-17