Quaternion Based Information Parallel Fusion and Its Application in Color Face Detection

机译：基于四元数的信息并行融合及其在彩色人脸检测中的应用

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Pointing to dimension limit of serial feature fusion method, and quantity limit of parallel complex vector feature fusion method, an evolution of parallel vector feature fusion method based on quaternion has been proposed. The feasibility and the rationality of its application is proved in details theoretically. The feasibility of Fisher classification method in real domain and complex domain has been extended to quaternion space. Then the detail usage and process of the generalized Fisher method used in image classification has been given in this paper. Finally, the new algorithm is used in face detection and good result has been obtained.

机译：针对串行特征融合方法的尺寸极限以及并行复矢量特征融合方法的数量限制，提出了一种基于四元数的并行矢量特征融合方法的发展。理论上详细证明了其应用的可行性和合理性。 Fisher分类方法在实域和复杂域中的可行性已扩展到四元数空间。然后给出了广义费舍尔方法在图像分类中的详细用法和过程。最后，将该算法用于人脸检测，取得了良好的效果。

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来源
《International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN)》|2006年|P.1806-1809|共4页
会议地点 Guilin(CN)
作者
Fangnian Lang; Jiliu Zhou; Yan Bin; Enbin Song; Fan Zhong;
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作者单位

School of Electronic information, sichuan university chengdu 610064, P. R. China;

School of Computer Science(Software),Sichuan University, Chengdu 610064, P. R. China;

School of Automatic Engineering, Univercity of Electronic Sicence and Technology of Chin;

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正文语种 eng
中图分类通信理论;
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Quaternion Based Information Parallel Fusion and Its Application in Color Face Detection

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