Facial image morphing by self-organizing feature maps

Mu Chun Su; I. Chen Liu

Facial image morphing by self-organizing feature maps

Mu Chun Su, I. Chen Liu

資訊工程學系

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

1 引文斯高帕斯（Scopus）

摘要

An efficient facial image morphing algorithm based on the self-organizing feature map algorithm is developed. A simplified facial muscle model is also proposed to provide us the information of how to determine the neighborhood functions so as to achieve a more natural look of the warped images. The value of the parameter σ in the neighborhood function plays an important role of local influence zone of reference points. The selection of σ should depend on the size of facial image and the location of the anchor point.

原文	???core.languages.en_GB???
頁面	1969-1972
頁數	4
出版狀態	已出版 - 1999
事件	International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA 持續時間: 10 7月 1999 → 16 7月 1999

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Joint Conference on Neural Networks (IJCNN'99)
城市	Washington, DC, USA
期間	10/07/99 → 16/07/99

引用此

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AB - An efficient facial image morphing algorithm based on the self-organizing feature map algorithm is developed. A simplified facial muscle model is also proposed to provide us the information of how to determine the neighborhood functions so as to achieve a more natural look of the warped images. The value of the parameter σ in the neighborhood function plays an important role of local influence zone of reference points. The selection of σ should depend on the size of facial image and the location of the anchor point.

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M3 - 會議論文

AN - SCOPUS:0033341050

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T2 - International Joint Conference on Neural Networks (IJCNN'99)

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Facial image morphing by self-organizing feature maps

摘要

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