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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...
ICPR
2008
IEEE
14 years 8 months ago
Facial expression analysis with facial expression deformation
In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle ...
Daijin Kim, Jongju Shin, Sungsoo Park
CVPR
2006
IEEE
14 years 9 months ago
Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, L...
CVPR
2004
IEEE
14 years 9 months ago
Representation and Matching of Articulated Shapes
We consider the problem of localizing the articulated and deformable shape of a walking person in a single view. We represent the non-rigid 2D body contour by a Bayesian graphical...
Jiayong Zhang, Robert T. Collins, Yanxi Liu
CVPR
2011
IEEE
13 years 2 months ago
Discriminative Image Warping with Attribute Flow
We address the problem of finding deformation between two images for the purpose of recognizing objects. The challenge is that discriminative features are often transformation-va...
Weiyu Zhang, Praveen Srinivasan, Jianbo Shi