CS x495 “Computer Vision”

Transfer with the Trifocal Tensor (Gehry’s Ginger&Fred building in Prague)

Welcome !

This site provides information on the CS 4495/7495 course ”Computer Vision”, to be taught in the Fall 2006 Semester. This is the introductory computer vision course in the curriculum for Computational Perception and Robotics in the College of Computing. It is designed to provide

• A broad introduction to research questions in computer vision,
• Familiarity with standard vision results, and
• Experience in programming vision algorithms.

In these pages you will find more information on course logistics, the syllabus, the schedule, supporting materials, grading and policy, assignments, and resources.

Frank Dellaert

A note on prerequisites:

Familiarity with linear algebra and statistics will be essential. Equally important is familiarity with programming. A background in signal and image processing will be helpful. Permission of the instructor in special cases only.