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» Using Component Features for Face Recognition
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116
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CVPR
2007
IEEE
15 years 8 months ago
Robust 3D Face Recognition Using Learned Visual Codebook
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces...
Cheng Zhong, Zhenan Sun, Tieniu Tan
SMI
2008
IEEE
204views Image Analysis» more  SMI 2008»
15 years 8 months ago
SHREC'08 entry: 3D face recognition using facial contour curves
In this work we compute the similarity of 3D faces using a set of eight contour curves. These contours were selected and matched using our 3D face matching framework. In previous ...
Frank B. ter Haar, Remco C. Veltkamp
131
Voted
SBRN
1998
IEEE
15 years 6 months ago
Design of Radial Basis Function Network as Classifier in Face Recognition Using Eigenfaces
In this paper we investigate alternative designs of a Radial Basis Function Network acting as classifier in a face recognition system. Input to the RBF network is the projections ...
Carlos E. Thomaz, Raul Queiroz Feitosa, Alvaro Vei...
118
Voted
ICPR
2006
IEEE
15 years 8 months ago
Gender Recognition in Non Controlled Environments
In most of the automatic face classification applications, images should be captured in natural environments, where partial occlusions or high local changes in the illumination a...
Àgata Lapedriza, Manuel J. Marín-Jim...
INTERSPEECH
2010
14 years 9 months ago
Improved language recognition using mixture components statistics
One successful approach to language recognition is to focus on the most discriminative high level features of languages, such as phones and words. In this paper, we applied a simi...
Abualsoud Hanani, Michael J. Carey 0002, Martin J....