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» Object Category Classification Using Occluding Contours
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CVPR
2010
IEEE
13 years 8 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
BVAI
2005
Springer
13 years 10 months ago
Incomplete Contour Representations and Shape Descriptors: ICR Test Studies
Inspired by psychophysical studies of the human cognitive abilities we propose a novel aspect and a method for performance evaluation of contour based shape recognition algorithms ...
Anarta Ghosh, Nicolai Petkov
ICCV
2003
IEEE
14 years 7 months ago
Camera calibration using spheres: A semi-definite programming approach
Vision algorithms utilizing camera networks with a common field of view are becoming increasingly feasible and important. Calibration of such camera networks is a challenging and ...
Motilal Agrawal, Larry S. Davis
CVPR
2004
IEEE
13 years 9 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
PR
2008
188views more  PR 2008»
13 years 5 months ago
Detection and recognition of contour parts based on shape similarity
Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images, it is usually impossible to extract complete object contours or to segment the ...
Xiang Bai, Xingwei Yang, Longin Jan Latecki