Computer Vision and Image Processing – Fundamentals and Applications

This course intends to familiarize the students to explain the fundamental concepts/issues of (CV) and Image Processing, and major approaches that address them. This course provides an introduction to (CV) including image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, the concept of feature extraction and selection for pattern classification/recognition, and advanced concepts like motion estimation and tracking, image classification, scene understanding, object classification and tracking, image fusion, and image registration, etc.

This course will cover the fundamentals of Computer Vision. It is suited for main students who are interested in researching the area of (CV). After completing the course, the students may expect to have the knowledge needed to read and understand more advanced topics and current research literature, and the ability to start working in industry or academic research in the field of Computer Vision and Image Processing. They can also apply all these concepts to solve real-world problems.

INTENDED AUDIENCE: UG, PG, and Ph.D. students