CSCI1430
(Formerly CS143)Computer Vision
Offered this year and most yearsFall 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: | TBD |
Exam Group: | TBD |
CRN: | None |
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 |