A face detection algorithm based on high dimensional space geometry


Autoria(s): Wang, SJ; Sun, H
Data(s)

2005

Resumo

In this paper, a face detection algorithm which is based on high dimensional space geometry has been proposed. Then after the simulation experiment of Euclidean Distance and the introduced algorithm, it was theoretically analyzed and discussed that the proposed algorithm has apparently advantage over the Euclidean Distance. Furthermore, in our experiments in color images, the proposed algorithm even gives more surprises.

In this paper, a face detection algorithm which is based on high dimensional space geometry has been proposed. Then after the simulation experiment of Euclidean Distance and the introduced algorithm, it was theoretically analyzed and discussed that the proposed algorithm has apparently advantage over the Euclidean Distance. Furthermore, in our experiments in color images, the proposed algorithm even gives more surprises.

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China Neural Networks Council.; IEEE Computat Intelligence Soc, Beijing Chapter.; Chinese Inst Elect.; Chinese Assoc Artificial Intelligence.

Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Networks, Beijing 100083, Peoples R China

China Neural Networks Council.; IEEE Computat Intelligence Soc, Beijing Chapter.; Chinese Inst Elect.; Chinese Assoc Artificial Intelligence.

Identificador

http://ir.semi.ac.cn/handle/172111/9948

http://www.irgrid.ac.cn/handle/1471x/65975

Idioma(s)

英语

Publicador

IEEE

345 E 47TH ST, NEW YORK, NY 10017 USA

Fonte

Wang, SJ; Sun, H .A face detection algorithm based on high dimensional space geometry .见:IEEE .Proceedings of the 2005 International Conference on Neural Networks and Brain,345 E 47TH ST, NEW YORK, NY 10017 USA ,2005,Vols 1-3: 1482-1485

Palavras-Chave #人工智能 #IMAGES
Tipo

会议论文