Variational Methods for Computer Vision - Lecture 11 (Prof. Daniel Cremers) HD

Lecturer: Prof. Dr. Daniel Cremers (TU München) Topics covered: - Koepfler-Morel-Solimini approach for solving the Mumford-Shah problem. - Multiscale Implementation - Diffusion Snakes -Statistical Shape Priors by Cremers et al. - Image Segmentation: Bayesian Inference. - The Bayesian Formula - Statistical Inference - Max Likelihood vs. Max A Posteriori - Mode vs. Mean