Sciweavers

88 search results - page 3 / 18
» Boosting Color Feature Selection for Color Face Recognition
Sort
View
IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
13 years 11 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
ICETET
2009
IEEE
13 years 3 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar
PRL
2006
180views more  PRL 2006»
13 years 5 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai
ICIP
1999
IEEE
14 years 7 months ago
The Importance of the Color Information in Face Recognition
A common feature found in practically all technical approaches proposed for face recognition is the use of only the luminance information associated to the face image. One may won...
Luis Torres, Jean-Yves Reutter, Luis Lorente
DICTA
2003
13 years 6 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao