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CGF
2005
252views more  CGF 2005»
14 years 9 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
2004
IEEE
15 years 10 months ago
3D Shape-based Face Recognition using Automatically Registered Facial Surfaces
In this paper, we address the use of three dimensional facial shape information for human face identification. We propose a new method to represent faces as 3D registered point cl...
Berk Gökberk, Lale Akarun, M. Okan Irfanoglu
CAD
2004
Springer
14 years 9 months ago
A shape design system using volumetric implicit PDEs
Solid modeling based on partial differential equations (PDEs) can potentially unify both geometric constraints and functional requirements within a single design framework to mode...
Haixia Du, Hong Qin
NCI
2004
188views Neural Networks» more  NCI 2004»
14 years 11 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
JCP
2008
92views more  JCP 2008»
14 years 9 months ago
A Hierarchical Gene-Set Genetic Algorithm
In this paper, gene sets, instead of individual genes, are used in the genetic process to speed up convergence. A gene-set mutation operator is proposed, which can make several nei...
Tzung-Pei Hong, Min-Thai Wu