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» Components for Face Recognition
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ISCIS
2005
Springer
15 years 9 months ago
Selection and Extraction of Patch Descriptors for 3D Face Recognition
In 3D face recognition systems, 3D facial shape information plays an important role. 3D face recognizers usually depend on point cloud representation of faces where faces are repre...
Berk Gökberk, Lale Akarun
185
Voted
PAMI
2012
13 years 6 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
INTERSPEECH
2010
14 years 10 months ago
Sparse component analysis for speech recognition in multi-speaker environment
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
Afsaneh Asaei, Hervé Bourlard, Philip N. Ga...
141
Voted
IBPRIA
2007
Springer
15 years 10 months ago
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
Arnau Oliver, Xavier Lladó, Joan Mart&iacut...
182
Voted
ICIP
2009
IEEE
16 years 5 months ago
Asymmetric 3d/2d Face Recognition Based On Lbp Facial Representation And Canonical Correlation Analysis
In the recent years, 3D Face recognition has emerged as a major solution to deal with the unsolved issues for reliable 2D face recognition, i.e. lighting condition and viewpoint v...