Computer Vision

Basic concepts in computational vision. Relation to human visual perception. The analysis and understanding of image and video data. Mathematical foundations, image representation, feature extraction, camera geometry and image alignment, stereo and 3-D reconstruction, convolutional neural networks, face processing, object and scene recognition, conditional and Markov random fields, tracking, action recognition.