CSC577
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CSC577 - 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. Graduate-level requirements include additional challenging assignments or a research oriented project and participate in the weekly vision group meeting.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - COGS (Cognitive Science)
Course Requisites
Cross Listed Courses
May be convened with
CSC477
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Fall