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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2017

21.09.2016

Quaternion Based Maximum Margin Criterion Method for Color Face Recognition

verfasst von: Zhonghua Liu, Yong Qiu, Yali Peng, Jiexin Pu, Xiaoli Zhang

Erschienen in: Neural Processing Letters | Ausgabe 3/2017

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Abstract

Color is one of the basic features of images, which can provide very useful information and play an important role in face recognition. By using the quaternion matrix representation, the R, G, B information of each pixel is not destroyed and it can be taken as a organic body. Therefore, this paper proposes a quaternion based maximum margin criterion (QMMC) algorithm. Firstly, the quaternion number is used to denote the pixel of the color image, and a quaternion vector is taken to represent the color image. Secondly, the maximum margin criterion algorithm is used to project the quaternion vector in the high-dimension space into a low-dimension space. Finally, the nearest neighbor classification are taken for classification recognition. Numerous experiments show that the proposed QMMC can achieve better recognition performance.
Vorheriger Artikel Incremental Clustering-Based Facial Feature Tracking Using Bayesian ART
Nächster Artikel A Novel Similarity Measure Model for Multivariate Time Series Based on LMNN and DTW

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Metadaten
Titel
Quaternion Based Maximum Margin Criterion Method for Color Face Recognition
verfasst von
Zhonghua Liu
Yong Qiu
Yali Peng
Jiexin Pu
Xiaoli Zhang
Publikationsdatum
21.09.2016
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2017
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-016-9550-x

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