CSCI1430

(Formerly CS143)

Computer Vision

Offered this year and most years

Fall 2024

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. Strongly recommended: basic linear algebra, basic calculus and exposure to probability.

Prerequisites: CSCI 0160, 0180, or 0190

Instructor(s):
Course Home Page: http://cs.brown.edu/courses/csci1430/
Location:TBD
Meeting Time:TTH 9-10:20A
Exam Group:09
CRN:26212

Spring 2025

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. Strongly recommended: basic linear algebra, basic calculus and exposure to probability.

Prerequisites: CSCI 0160, 0180, 0190, or 0200; MATH 0520, 0540, or 0530.

Instructor(s):
Location:TBD
Meeting Time:TBD
Exam Group:TBD
CRN:None