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» Face Recognition using 3D Summation Invariant Features
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FGR
2004
IEEE
212views Biometrics» more  FGR 2004»
14 years 9 days ago
Automatic 3D Face Recognition Combining Global Geometric Features with Local Shape Variation Information
Face recognition is a focused issue in pattern recognition over the past decades. In this paper, we have proposed a new scheme for face recognition using 3D information. In this s...
Chenghua Xu, Yunhong Wang, Tieniu Tan, Long Quan
FGR
2008
IEEE
285views Biometrics» more  FGR 2008»
14 years 3 months ago
Component-based registration with curvature descriptors for expression insensitive 3d face recognition
Deformations caused by facial expression variations complicate the task of 3D face registration which is vital for successful 3D face recognition systems. In this work, we propose...
Nese Alyüz, Berk Gökberk, Hamdi Dibeklio...
CVPR
2006
IEEE
14 years 2 months ago
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions
This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3...
Michael De Smet, Rik Fransens, Luc J. Van Gool
PR
2008
146views more  PR 2008»
13 years 8 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
AVSS
2006
IEEE
14 years 2 months ago
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
Chris McCool, Jamie Cook, Vinod Chandran, Sridha S...