COS 429: Computer Vision, Fall 2013

General | Schedule | Assignments | Final Project

General Information

Description: This course is an introduction to the concepts of 2D and 3D computer vision. Topics include: low-level image processing methods such as filtering and edge detection; segmentation and clustering; optical flow and tracking; shape reconstruction from stereo, motion, texture, and shading; classification and recognition. Throughout the course, we also look at aspects of human vision and perception that guide and inspire computer vision techniques.
Prerequisites: Prerequisites for the course are COS 217 and COS 226. The course will require programming (in MATLAB and/or C/C++), as well as some background in data structures and linear algebra. Experience with signal processing, statistics, and/or computer graphics is useful but not necessary.
Coursework: The grade will be based on five assignments (65%), a final project (30%), and class participation (5%).
Textbook: Computer Vision: Algorithms and Applications,
Richard Szeliski, Springer, October 2010, ISBN-13:978-1848829343.
Instructors: Tom Funkhouser - office: CS 422, Wed 3:00-4:00PM, email: funk@cs.
Ohad Fried - office: CS 414, Mon & Fri, 3:30-4:30, email: ohad@cs.
Xinyi Fan - office: CS 414, Mon & Fri, 3:30-4:30, email: xinyi@cs.
Time/place: Lectures - Tues & Thurs 3:00-4:20, Friend 006
Precepts - As needed, Wed 7:30, CS 105
Resources: Piazza - online Q & A, discussion, announcements, etc.