Obtain Method of Quaternion Matrix Orthogonal Eigenvector Set and Its Application in Color Face Recognition

2009 ◽  
Vol 34 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Fang-Nian LANG
Keyword(s):  
Face Recognition ◽  
Quaternion Matrix ◽  
Color Face Recognition

Color face recognition based on quaternion matrix representation

2011 ◽  
Vol 32 (4) ◽  
pp. 597-605 ◽  
Author(s):  
Yanfeng Sun ◽  
Shangyou Chen ◽  
Baocai Yin
Keyword(s):  
Face Recognition ◽  
Matrix Representation ◽  
Quaternion Matrix ◽  
Color Face Recognition

Color Local Texture Features for Color Face Recognition

2012 ◽  
Vol 21 (3) ◽  
pp. 1366-1380 ◽  
Author(s):  
Jae Young Choi ◽  
Yong Man Ro ◽  
K. N. Plataniotis
Keyword(s):  
Face Recognition ◽  
Texture Features ◽  
Local Texture ◽  
Color Face Recognition

scholarly journals AN EFFECTIVE COLOR FACE RECOGNITION BASED ON BEST COLOR FEATURE SELECTION ALGORITHM USING WEIGHTED FEATURES FUSION SYSTEM

2013 ◽  
Vol 8 (2) ◽  
pp. 787-795
Author(s):  
Sasi Kumar Balasundaram ◽  
J. Umadevi ◽  
B. Sankara Gomathi
Keyword(s):  
Feature Selection ◽  
Face Recognition ◽  
Feature Fusion ◽  
Recognition Performance ◽  
Feature Selection Method ◽  
Recognition Method ◽  
Color Feature ◽  
Color Component ◽  
Pose Variation ◽  
Color Face Recognition

This paper aims to achieve the best color face recognition performance. The newly introduced feature selection method takes advantage of novel learning which is used to find the optimal set of color-component features for the purpose of achieving the best face recognition result. The proposed color face recognition method consists of two parts namely color-component feature selection with boosting and color face recognition solution using selected color component features. This method is better than existing color face recognition methods with illumination, pose variation and low resolution face images. This system is based on the selection of the best color component features from various color models using the novel boosting learning framework. These selected color component features are then combined into a single concatenated color feature using weighted feature fusion. The effectiveness of color face recognition method has been successfully evaluated by the public face databases.

Uncorrelated multi-set feature learning for color face recognition

2016 ◽  
Vol 60 ◽  
pp. 630-646 ◽  
Author(s):  
Fei Wu ◽  
Xiao-Yuan Jing ◽  
Xiwei Dong ◽  
Qi Ge ◽  
Songsong Wu ◽  
...  
Keyword(s):  
Face Recognition ◽  
Feature Learning ◽  
Color Face Recognition

Color Face Recognition for Degraded Face Images

2009 ◽  
Vol 39 (5) ◽  
pp. 1217-1230 ◽  
Author(s):  
Jae Young Choi ◽  
Yong Man Ro ◽  
K.N. Plataniotis
Keyword(s):  
Face Recognition ◽  
Face Images ◽  
Color Face Recognition
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