Modeling of 3D objects from image sequences is a challenging problem and has been a research topic for many years. Important theoretical and algorithmic results were achieved that...
Marc Pollefeys, Reinhard Koch, Maarten Vergauwen, ...
This paper presents a novel hybrid segmentation technique incorporating a statistical as well as a geometric model in a unified segmentation scheme for brain tissue segmentation o...
Albert Huang, Rafeef Abugharbieh, Roger Tam, Antho...
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
Temporal stereo vision algorithms can offer improved robustness, however, this can only be delivered after several frames of a stereo image sequence have been processed. We presen...