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» Boosting Color Feature Selection for Color Face Recognition
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ICB
2009
Springer
173views Biometrics» more  ICB 2009»
13 years 3 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
CVPR
2001
IEEE
14 years 7 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones
IJIT
2004
13 years 7 months ago
Morphing Human Faces: Automatic Control Points Selection And Color Transition
In this paper, we propose a morphing method by which face color images can be freely transformed. The main focus of this work is the transformation of one face image to another. Th...
Stephen Karungaru, Minoru Fukumi, Norio Akamatsu
CVPR
2005
IEEE
14 years 7 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
13 years 7 months ago
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
Yong-Deok Kim, Seungjin Choi