Computer Vision and Image Processing - Fundamentals and Applications

Computer Vision and Image Processing - Fundamentals and Applications

PRE-REQUISITES: Basic co-ordinate geometry, matrix algebra, linear algebra and random process. INTENDED AUDIENCE: UG, PG and Ph.D. students INDUSTRIES APPLICABLE TO: The software industries that develop computer visions apps would be benefitted from this course. COURSE OUTLINE: The intent of this course is to familiarize the students to explain the fundamental concepts/issues of Computer Vision and Image Processing, and major approaches that address them. Even though Computer Vision is being used for many practical applications today, it is still not a "solved" problem. Hence, definitive solutions are available only rarely.