Course Information

CS 763: Computer Vision

Subset from this list of topics:
Camera geometry, multi-view geometry and stereo vision
Image registration: feature-point based registration for affine transformations/homography; optical flow (non-rigid registration); robust registration
Knowledge representation and inference
Object detection
Shape from Shading and Photometric Stereo
Structure from Motion
Computational Photography and super-resolution

Computer Vision: A Modern Approach, Forsyth and Ponce, Pearson Education Low Price Indian Edition, 2005.
Introductory Techniques for 3D Computer Vision, Emanuele Trucco and Alessandro Verri, Prentice Hall, 1998.
Learning OpenCV: Computer Vision with the OpenCV Library, Gary Bradski, O`Reilly Media, 2008.
Digital Image Processing, 3rd Ed., Gonzalez and Woods, Pearson Education Low Price Indian Edition, 2008.
Multiple View Geometry, Hartley & Zisserman, Cambridge Press, 2004
Home Page


Either CS 663 (Fundamentals of Digital Image Processing) or CS 475/675 (Computer Graphics) or CS 740 (Mathematical Methods for Visual Computing).
Other Details

Duration : Full Semester Total Credit : 6
Type : Theory
Autumn Semester 2019-20

Status : Not Offered Instructor : ---
Spring Semester 2019-20

Status : Offered Instructor : Prof. Sharat Chandran

Last Modified Date: 15-Jul-2013


Faculty CSE IT
Forgot Password
    [+] Sitemap     Feedback