This subject extends students comprehension of the fundemental problems of computer vision and state-of-the-art solutions. Topics covered in detail include: image acquisition, sampling and quantisation; image segmentation, point, line and edge detection, and thresholding; geometric frameworks for vision, single view and two views; camera calibration; stereopsis, the correspondence problem and epipolar geometry; motion and optical flow; recognition, invariants, appearance and geometric-based identification; pose estimation in perspective images. The course includes an extensive practical component that provides the students with a tool box of skills in image processing and computer vision.

Admission to the ME degree and permission of the course coordinator