We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
We present a simple and practical approach for segmenting un-occluded items in a scene by actively casting shadows. By ’items’, we refer to objects (or part of objects) enclose...
Tze Ki Koh, Amit K. Agrawal, Ramesh Raskar, Steve ...
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...