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» Shape Estimation from Support and Diameter Functions
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PAMI
2006
358views more  PAMI 2006»
13 years 7 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
VC
2008
126views more  VC 2008»
13 years 7 months ago
Efficient reconstruction from non-uniform point sets
Abstract We propose a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in...
Erald Vuçini, Torsten Möller, M. Eduar...
ETVC
2008
13 years 9 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
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
CVPR
2008
IEEE
14 years 9 months ago
Photometric stereo with non-parametric and spatially-varying reflectance
We present a method for simultaneously recovering shape and spatially varying reflectance of a surface from photometric stereo images. The distinguishing feature of our approach i...
Neil G. Alldrin, Todd Zickler, David J. Kriegman