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» Multi-Modal 2D and 3D Biometrics for Face Recognition
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CVPR
2006
IEEE
14 years 1 months 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
ICB
2009
Springer
355views Biometrics» more  ICB 2009»
14 years 2 months ago
3D Signatures for Fast 3D Face Recognition
We propose a vector representation (called a 3D signature) for 3D face shape in biometrics applications. Elements of the vector correspond to fixed surface points in a face-centere...
Chris Boehnen, Tanya Peters, Patrick J. Flynn
FGR
2008
IEEE
229views Biometrics» more  FGR 2008»
14 years 2 months ago
A high-resolution 3D dynamic facial expression database
Face information processing relies on the quality of data resource. From the data modality point of view, a face database can be 2D or 3D, and static or dynamic. From the task poi...
Lijun Yin, Xiaochen Chen, Yi Sun, Tony Worm, Micha...
BIOSIG
2007
170views Biometrics» more  BIOSIG 2007»
13 years 9 months ago
Privacy enhancing technology for a 3D-face recognition system
: 2D Face images are traditionally used in civil governmental applications. An extension from 2D to 3D images will lead to several advantages when setting up automated authenticati...
Xuebing Zhou, Tom A. M. Kevenaar, Emile Kelkboom, ...
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
14 years 1 months 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