F10_CSE660_CV

=CSE660: Computer Vision=

Semester:
Fall 2010

Instructor:
Ali Zaidi

Program:
MS(CS)

Course Description
Computer Vision is a study in algorithms, tools and techniques that enable computers to extract information out of digital images.Computer Vision is being used extensively for driving autonomous vehicles ([|DARPA Grand Challenge),] planetary exploration ([|Mars Rover]), life-saving medical imaging techniques ([|STIR]), Enhancing the Human-Computer-Interaction experience ([|Gesture Detection]) and preservation of accumulated human wisdom by digitizing books ([|Tesseract]). This course will offer an introduction to the core concepts, some industrial-strength tools and recent breakthroughs in Computer Vision. By the end of the course, the student should be able to analyze problems in Computer Vision, break them into simpler problems, associate these simpler problems to established solution techniques, design efficient algorithms using these established techniques and make computer programs based on these algorithms.

Text Books
Prof. Guang-Zhong Yang'd Lecture Notes

Web Resources
http://en.wikipedia.org/wiki/Computer_vision http://www.computervisioncentral.com http://iris.usc.edu/Vision-Notes/bibliography http://homepages.inf.ed.ac.uk/rbf/CVonline/ http://www.cs.cmu.edu/~cil/vision.html http://www.google.com

Grading Policy
The recommended grading policy, with weights attached to Quizzes, Homework assignements, Midterm exams, projects and Final Exams.