Quaternion based image information parallel fusion

被引：2

作者：

Lang, Fang-Nian ^{[1
]}

Zhou, Ji-Liu ^{[2
]}

Zhong, Fan ^{[1
]}

Song, En-Bin ^{[3
]}

Yan, Bin ^{[4
]}

机构：

[1] School of Electronic and Information Science, Sichuan University

[2] College of Computer Science, Sichuan University

[3] College of Mathematics, Sichuan University

[4] College of Automation, University of Electron. Sci. and Technol. of China

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2007年 / 33卷 / 11期

关键词：

Classification; Face detection; Feature fusion; Quaternion; Self-conjugate quaternion matrix;

D O I：

10.1360/aas-007-1136

中图分类号：

学科分类号：

摘要：

In view of the dimension limit of traditional serial feature fusion method and the quantity limit of parallel complex vector feature fusion method, an evolution of parallel vector feature fusion method based on quaternion is proposed. The feasibility and rationality of the method are proved in detail. Meanwhile, Fisher classification method in real and complex domains is generalized into quaternion space. Furthermore, the feasibility and the detailed proving process of the generalized Fisher method used in image classification are also given. Finally, the novel algorithm is used in face detection and good effect is obtained.

引用

页码：1136 / 1143

页数：7

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