Application of the Self-Organizing Feature Map Algorithm in Facial Image Morphing

Authors:
Mu-Chun Su;I-Chen Liu
Affiliations:
Department of Computer Science and Information Engineering, National Central University, Taiwan, Republic of China. E-mail: muchun@csie.ncu.edu.tw;Department of Electrical Engineering, Tamkang University, Taiwan, Republic of China
Venue:
Neural Processing Letters
Year:
2001

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Abstract

A new facial image morphing algorithm based on the Kohonen self-organizing feature map (SOM) algorithm is proposed to generate a smooth 2D transformation that reflects anchor point correspondences. Using only a 2D face image and a small number of anchor points, we show that the proposed morphing algorithm provides a powerful mechanism for processing facial expressions.