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CVPR
2011
IEEE
8 years 21 hour ago
Global Optimization for Optimal Generalized Procrustes Analysis
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by estimating a reference shape and a set of rigid transformations gi...
Daniel Pizarro, Adrien Bartoli
CVPR
2011
IEEE
8 years 3 months ago
Probabilistic Simultaneous Pose and Non-Rigid Shape Recovery
We present an algorithm to simultaneously recover nonrigid shape and camera poses from point correspondences between a reference shape and a sequence of input images. The key nove...
Francesc Moreno (Institut de Robotica i Informatic...
BMVC
2010
8 years 6 months ago
Stratified Generalized Procrustes Analysis
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by finding a reference shape and global rigid transformations given p...
Adrien Bartoli, Daniel Pizarro, Marco Loog
PR
2000
117views more  PR 2000»
8 years 8 months ago
Planar shape recognition by shape morphing
A novel method based on shape morphing is proposed for 2D shape recognition. In this framework, the shape of objects is described by using their contour. Shape recognition involve...
Rahul Singh, Nikolaos Papanikolopoulos
CA
2000
IEEE
9 years 21 days ago
Integrated System for Skin Deformation
In this paper, we present an integrated system for skin deformation that is able to handle deformations due to both the skeleton animation and collisions. This method is based on ...
Frederic Cordier, Nadia Magnenat-Thalmann
ICIP
2009
IEEE
9 years 9 months ago
Shape Prior Criterion Based On Tchebichef Moments In Variational Region Growing
Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the e...
ICIP
2001
IEEE
9 years 10 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
ECCV
2006
Springer
9 years 10 months ago
Example Based Non-rigid Shape Detection
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...
Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, S...
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