The elective course introduces a thorough grounding of the principles of computer vision and image processing, and seeks to develop students’ knowledge from basic image processing techniques to advanced computer vision and image analysis systems. It concentrates on the fundamental theory of computer vision and image processing with emphasis on the areas of feature extraction, image segmentation, object recognition, motion analysis and scene understanding.

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained. The students will attend the final exam. Final exam will include questions to assess the capability of students 1) to identify the important features of different computer vision and image processing techniques; 2) to perform critical evaluation of different computer vision and image processing approaches; 3) to assess the capability of students to identify the important features of different computer vision and image processing techniques.