Course details of CS 763 - Computer Vision

Course Name Computer Vision
Total Credits 6
Type T
Lecture 2
Tutorial 0
Practical 0
Selfstudy 0
Half Semester N
Prerequisite
Text Reference 1. Computer Vision: A Modern Approach, Forsyth andPonce, Pearson Education Low Price Indian Edition,2005.2. Introductory Techniques for 3D Computer Vision,Emanuele Trucco and Alessandro Verri, Prentice Hall,1998.3. Learning OpenCV: Computer Vision with the OpenCVLibrary, Gary Bradski, O`Reilly Media, 2008.4. Digital Image Processing, 3rd Ed., Gonzalez andWoods, Pearson Education Low Price Indian Edition,2008.5. Multiple View Geometry, Hartley & Zisserman,Cambridge Press, 2004i
Description 1. Camera geometry, multi-view geometry and stereovision2. Image registration: feature-point based registration foraffine transformations/homography; optical flow (nonrigidregistration); robust registration3. Segmentation and region growing4. Knowledge representation and inference5. Object recognition, detection, tracking6. Texture classification and recognition7. Pyramid paradigms8. Shape from Shading and Photometric Stereo9. Structure from Motion10. Activity recognition11. Computational Photography and super-resolution.
Last Update 30-06-2015 12:04:33.335646