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» Intrinsic shape context descriptors for deformable shapes
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CGF
2005
252views more  CGF 2005»
13 years 7 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
IJDAR
2010
169views more  IJDAR 2010»
13 years 6 months ago
A Bayesian network for combining descriptors: application to symbol recognition
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
Sabine Barrat, Salvatore Tabbone
PAMI
2012
11 years 10 months ago
Nonlinear Shape Registration without Correspondences
—In this paper, we propose a novel framework to estimate the parameters of a diffeomorphism that aligns a known shape and its distorted observation. Classical registration method...
Csaba Domokos, Jozsef Nemeth, Zoltan Kato
ECCV
2008
Springer
14 years 9 months ago
A Pose-Invariant Descriptor for Human Detection and Segmentation
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
Zhe Lin, Larry S. Davis
SMA
2003
ACM
191views Solid Modeling» more  SMA 2003»
14 years 23 days ago
Free-form skeleton-driven mesh deformations
In this paper, we propose a new scheme for free-form skeletondriven global mesh deformations. First a Voronoi-based skeletal mesh is extracted from a given original mesh. Next the...
Shin Yoshizawa, Alexander G. Belyaev, Hans-Peter S...