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CGF
2008
144views more  CGF 2008»
13 years 11 months ago
Deformation-Driven Shape Correspondence
Non-rigid 3D shape correspondence is a fundamental and difficult problem. Most applications which require a correspondence rely on manually selected markers. Without user assistan...
Hao Zhang 0002, Alla Sheffer, Daniel Cohen-Or, Qua...
BMVC
2002
14 years 1 months ago
Integrated Shape and Pose Modelling
Flexible Shape Models (FSMs), have been widely used for modelling shape variations of deformable objects [4]. A major limitation of this approach is that it assumes a near fronto-...
M. Benjamin Dias, Bernard F. Buxton
ICRA
1998
IEEE
158views Robotics» more  ICRA 1998»
14 years 3 months ago
Parts Orienting with Shape Uncertainty
Parts manufactured to tolerances have shape variations. Most work in robotic manipulation assumes that part shape does not vary. Orienting devices such as bowl feeders frequently ...
Srinivas Akella, Matthew T. Mason
AMFG
2007
IEEE
264views Biometrics» more  AMFG 2007»
14 years 5 months ago
Person-Independent Monocular Tracking of Face and Facial Actions with Multilinear Models
In tracking face and facial actions of unknown people, it is essential to take into account two components of facial shape variations: shape variation between people and variation ...
Yusuke Sugano, Yoichi Sato
MICCAI
2005
Springer
15 years 10 days ago
Multiscale 3D Shape Analysis Using Spherical Wavelets
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
Delphine Nain, Steven Haker, Aaron F. Bobick, Alle...
ICCV
2005
IEEE
15 years 1 months ago
Probabilistic Contour Extraction Using Hierarchical Shape Representation
In this paper, we address the issue of extracting contour of the object with a specific shape. A hierarchical graphical model is proposed to represent shape variations. A complex ...
Xin Fan, Chun Qi, Dequn Liang, Hua Huang
CVPR
2007
IEEE
15 years 1 months ago
Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model
This paper proposes a novel model-guided segmentation framework utilizing a statistical surface wavelet model as a shape prior. In the model building process, a set of training sh...
Yang Li, Tiow Seng Tan, Ihar Volkau, Wieslaw L. No...