Facial image morphing by self-organizing feature maps

Mu Chun Su, I. Chen Liu

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


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 languageEnglish
Number of pages4
StatePublished - 1999
EventInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
Duration: 10 Jul 199916 Jul 1999


ConferenceInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA


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