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» Learning Hierarchical Shape Models from Examples
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IVC
2006
120views more  IVC 2006»
13 years 7 months ago
Facial pose from 3D data
The distribution of the apparent 3D shape of human faces across the view-sphere is complex, owing to factors such as variations in identity, facial expression, minor occlusions an...
Ajit Rajwade, Martin D. Levine
ICIP
2007
IEEE
14 years 2 months ago
Graph Cut Segmentation with Nonlinear Shape Priors
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
James G. Malcolm, Yogesh Rathi, Allen Tannenbaum
IWVF
2001
Springer
14 years 5 days ago
The Shock Scaffold for Representing 3D Shape
The usefulness of the 3D Medial Axis (MA) is dependent on both the availability of accurate and stable methods for computing individual MA points and on schemes for deriving the l...
Frederic F. Leymarie, Benjamin B. Kimia
NIPS
2007
13 years 9 months ago
Combined discriminative and generative articulated pose and non-rigid shape estimation
Estimation of three-dimensional articulated human pose and motion from images is a central problem in computer vision. Much of the previous work has been limited by the use of cru...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
PAMI
2006
233views more  PAMI 2006»
13 years 7 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...