CISC 4/689: COMPUTER VISION, Spring 2006
Instructor: Dr. Chandra Kambhamettu
Teaching Assistant: Mani Thomas
Description: This is an introductory course on
principles of computer vision.
It covers basic topics of computer vision, and introduce some
fundamental approaches
for computer vision research. It entails topics on the analysis of
images and video in order
to recognize, reconstruct, model, and otherwise infer static and
dynamic properties of
objects in the three-dimensional world. It studies the geometry of
image formation;
basic concepts in image processing such as smoothing, edge and feature
detection,
color, and texture; segmentation; shape representation including
deformable templates;
stereo vision; motion estimation and tracking; techniques for 3-D
reconstruction; image
registration methods.
This course is intended for senior level undergraduate (CISC489) students or
graduate (CISC689) students with extensive programming skills, good mathematical
background (linear-algebra) and a serious interest in image analysis.
CISC4/681 is listed as pre-requisite, but students with high interest in this field
can obtain permission from the instructor (after making a solid case).
Extensive Programming experience, Interest in Graphics
Text Book: