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» From a Set of Shapes to Object Discovery
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CVPR
2010
IEEE
13 years 10 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
ECCV
2002
Springer
14 years 9 months ago
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
This paper presents a geometric approach to recognizing smooth objects from their outlines. We define a signature function that associates feature vectors with objects and baseline...
Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, Da...
ICCV
2011
IEEE
12 years 7 months ago
Refractive Shape from Light Field Distortion
Acquiring transparent, refractive objects is challenging as these kinds of objects can only be observed by analyzing the distortion of reference background patterns. We present a ...
Gordon Wetzstein, David Roodnick, Wolfgang Heidric...
CVPR
2008
IEEE
14 years 9 months ago
From skeletons to bone graphs: Medial abstraction for object recognition
letons to Bone Graphs: Medial Abstraction for Object Recognition Diego Macrini University of Toronto Kaleem Siddiqi McGill University Sven Dickinson University of Toronto Medial d...
Diego Macrini, Kaleem Siddiqi, Sven J. Dickinson
IJCV
1998
233views more  IJCV 1998»
13 years 7 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker