This course provides the introduction to the fundamental computer vision, and image processing techniques. Topics covered in detail includes camera geometry, image formation, image filtering, thresholding and image segmentation, edge, point and line detection, feature base alignment, pose estimation, object detection, face recognition and scene understanding. The focus of the course is to learn the methods, algorithm and theory use in computer vision and then practice in the projects.
Upon the successful completion of this course, students should be able to:
|Class Participation||10 Marks||10%|
|Final Examination||60 Marks||60%|