CSC477
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CSC477 - Introduction to Computer Vision
Course Description
Overview of algorithms for analyzing image data. Topics include image formation, physics-based vision, linear filtering, edge detection, multiple view geometry, segmentation, tracking, and recognition.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Enrollment Requirements
017212
Course Requisites
Knowledge of probability and CSC 433 (or computer graphics) helpful.
May be convened with
CSC577
Component
Discussion
Optional Component
Yes
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Fall