U08781 - Machine Vision

Week 1
Machine vision: a bird's eye view
Week 2
Image formation
Week 5
Object moments
Week 7
Motion and videos
An overview of the field, including the typical structure of vision algorithms, an overview of the applications, difference b/w low-level and mid-level vision. The image formation process, including perspective projection, camera calibration, the physics of image formation, camera models. A mini-lecture on object moments and the associated properties: centroid location, orientation and elongation. Vision with sequences of images, including real and apparent motion, background subtraction and optical flow estimation, (feature) tracking, structure from motion and SLAM.
Week 8
Week 9
Stereo vision
Week 10
The purpose of this Consolidation session is to test your understanding of the material presented in the Module. An overview of stereo vision, covering the depth and disparity estimation, the correspondence problem, window-based and scanline stereo. Machine learning for computer vision, including classification vs regression, discriminative vs generative methods, advanced feature encoding, action and gesture recognition, datasets and annotation.