COS 496 - Computer Vision

Spring, 2002

Description

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. Throughout the course, we also look at aspects of human vision and perception that guide and inspire computer vision techniques.

Prerequisites for the course are COS 217 and COS 226. The course will require programming (in C, C++, and/or Matlab), as well as some background in data structures and linear algebra. Experience with statistics or computer graphics is useful but not necessary.

Lectures

MW 3:00-4:20, CS 103

Instructor Szymon Rusinkiewicz CS Building, Room 405 258-7479 smr@cs.princeton.edu Office hours: TW 4:20-5:30 or by appointment

TA Wagner Corrêa CS Building, Room 414 258-5388 wtcorrea@cs.princeton.edu Office hours: M 11:00-12:00

Undergraduate Coordinator Tina McCoy CS Building, Room 410 258-1746 tmmccoy@cs.princeton.edu

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