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CSCI1430

(Formerly CS143 )

Introduction to Computer Vision

Instructor(s):
Michael J. Black
Course Home Page:
http://www.cs.brown.edu/courses/csci1430/
Location: CIT 368
Meeting Time: D: MWF 11:00-11:50
Exam Group: 04
Semester: 1
Offered This Year?  Yes
When Offered? Most Years

Description

How can computers understand the visual world of humans? This course treats vision as a process of inference from noisy and uncertain data and emphasizes probabilistic and statistical approaches. Topics may include perception of 3D scene structure from stereo, motion, and shading; image filtering, smoothing, edge detection; segmentation and grouping; texture analysis; learning, recognition and search; tracking and motion estimation. Prerequisites: basic linear algebra, basic calculus and exposure to probability.


Page Owner: webmaster Last Modified: Fri Jun 13 11:21:41 2008