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» 2D and 3D face recognition: A survey
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AC
2003
Springer
13 years 10 months ago
Influence of Location over Several Classifiers in 2D and 3D Face Verification
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
Susana Mata, Cristina Conde, Araceli Sánche...
ICPR
2010
IEEE
14 years 1 months ago
Partial Face Biometry Using Shape Decomposition on 2D Conformal Maps of Faces
In this paper, we introduce a new approach for partial 3D face recognition, which makes use of shape decomposition over the rigid1 part of a face. To explore the descriptiveness o...
Przemyslaw Szeptycki, Mohsen Ardabilian, Liming Ch...
TIP
2008
287views more  TIP 2008»
13 years 6 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
CVPR
2006
IEEE
14 years 24 days ago
3D Face Recognition Using 3D Alignment for PCA
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
Trina Russ, Chris Boehnen, Tanya Peters
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
14 years 23 days ago
Face Recognition using 3D Summation Invariant Features
In this paper, we developed a family of 2D and 3D invariant features with applications to 3D human faces recognition. The main contributions of this paper are: (a) systematically ...
Wei-Yang Lin, Kin-Chung Wong, Yu Hu, Nigel Boston