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TIP
2011
137views more  TIP 2011»
14 years 4 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
15 years 2 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
ICB
2007
Springer
129views Biometrics» more  ICB 2007»
15 years 4 months ago
Feature Correlation Filter for Face Recognition
The correlation filters for pattern recognition, have been extensively studied in the areas of automatic target recognition(ATR) and biometrics. Whereas the conventional correlati...
XiangXin Zhu, ShengCai Liao, Zhen Lei, Rong Liu, S...
SMI
2008
IEEE
204views Image Analysis» more  SMI 2008»
15 years 4 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
ICPR
2004
IEEE
15 years 11 months ago
Discriminative Distance Measures for Image Matching
: Significant progress has been made by the computer vision community in recent years along two fronts: (i) developing complex spatial-temporal models for object registration and t...
Tat-Jen Cham, Xi Chen