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» Learning Representative Local Features for Face Detection
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ICPR
2008
IEEE
15 years 4 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
IJCV
2008
193views more  IJCV 2008»
14 years 9 months ago
Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
CORR
2010
Springer
238views Education» more  CORR 2010»
14 years 9 months ago
Face Identification by SIFT-based Complete Graph Topology
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully us...
Dakshina Ranjan Kisku, Ajita Rattani, Enrico Gross...
AVSS
2007
IEEE
15 years 4 months ago
Face localization by neural networks trained with Zernike moments and Eigenfaces feature vectors. A comparison
Face localization using neural network is presented in this communication. Neural network was trained with two different kinds of feature parameters vectors; Zernike moments and E...
Mohammed Saaidia, Anis Chaari, Sylvie Lelandais, V...
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 2 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...