A face detection algorithm based on high dimensional space geometry
Data(s) |
2005
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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. zhangdi于2010-03-29批量导入 Made available in DSpace on 2010-03-29T06:06:20Z (GMT). No. of bitstreams: 1 2356.pdf: 2862263 bytes, checksum: b789c3bf1d03a694c57e53d17c860be4 (MD5) Previous issue date: 2005 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 | |
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 |