Application of the self-organizing feature map algorithm in facial image morphing

被引：5

作者：

Su, MC

Liu, IC

机构：

[1] Natl Cent Univ, Dept Comp Sci & Informat Engn, Chungli, Taiwan

[2] Tamkang Univ, Dept Elect Engn, Taipei, Taiwan

来源：

NEURAL PROCESSING LETTERS | 2001年 / 14卷 / 01期

关键词：

animation; facial expression; feature map; image morphing; image warping; SOM algorithm;

D O I：

10.1023/A:1011378024388

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：35 / 47

页数：13

共 23 条

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