Muscle-Based Feature Models for Analyzing Facial Expressions

Muscle-Based Feature Models for Analyzing Facial Expressions
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用于分析面部表情的基于肌肉的特征模型

DOI:
10.1007/3-540-63931-4_281
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发表时间:
1998
期刊:
Asian Conference on Computer Vision
影响因子:
--
通讯作者:
H. Nakatani
H. Nakatani
中科院分区:
--
文献类型:
--
作者:
Hiroshi Ohta;H. Saji;H. Nakatani

文献摘要

被引文献

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我们提出了可变形模型,用于跟踪面部图像中面部特征(如眉毛和嘴)的连续运动。每个面部特征的变形方向和范围受到面部肌肉的物理约束。利用面部肌肉的方向和位置,可以用很少的参数构建特征模型,只在适当的范围和方向上进行变形。模型参数来源于面部肌肉的变形,因此该模型易于应用于面部表情的解剖分析。
We propose deformable models for tracking the continual motions of facial features, such as the eyebrows and mouth, in facial images. Directions and ranges of deformations of each facial feature are physically constrained by facial muscles. By using the directions and locations of facial muscles, feature models can be constructed with a few parameters and can be deformed only in the proper range and to the proper direction. The model parameters are obtained from the deformations of facial muscles, hence the proposed model can be easily applied to the anatomical analysis of facial expressions.