Abstract
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.
Original language | English |
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Pages | 1969-1972 |
Number of pages | 4 |
State | Published - 1999 |
Event | International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: 10 Jul 1999 → 16 Jul 1999 |
Conference
Conference | International Joint Conference on Neural Networks (IJCNN'99) |
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City | Washington, DC, USA |
Period | 10/07/99 → 16/07/99 |