Title :
Dynamic Markov Random Fields
Author_Institution :
Dept. of Comput., Oxford Brookes Univ., Oxford
Abstract :
In this talk the author will outline some of the recent work undertaken by the Oxford Brookes Vision Group, a common theme underlying much of the research is to cast vision problems in terms of combinatorial optimization which provides a rich a deep theory for understanding them, with many new and exciting results.
Keywords :
Markov processes; combinatorial mathematics; computer vision; optimisation; random processes; combinatorial optimization; computer vision; dynamic Markov random fields; Computer vision; Face detection; Humans; Image processing; Image reconstruction; Image segmentation; Layout; Machine vision; Markov random fields; Motion estimation; Blending online and offline Computation; Markov Random Fields; Pose Estimation; Segmentation; Structure from Motion;
Conference_Titel :
Machine Vision and Image Processing Conference, 2008. IMVIP '08. International
Conference_Location :
Portrush
Print_ISBN :
978-0-7695-3332-2
DOI :
10.1109/IMVIP.2008.33
