Bayesian Approaches to Image Segmentation

Daniel Cremers

When segmenting their environment into meaningful regions, human observers exploit a number of low-level cues (such as intensity, color, texture or motion information) and higher level knowledge about objects of interest.

In my presentation, I will present ways to incorporate such information into image segmentation methods. In particular, I will present:

Maintained by Philippos Mordohai