Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Visual tracking is a very important front-end to many vision applications. We present a new framework for robust visual tracking in this paper. Instead of just looking forward in ...
Hao Wu, Rama Chellappa, Aswin C. Sankaranarayanan,...
Capturing surface appearance is important for a large number of applications. Appearance of real world surfaces is dif?cult to model as it varies with the direction of illuminatio...
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...