多模板ASM方法用于多种表情面部图像的特征点检测

7th International Conference on Automatic Face and Gesture Recognition (FGR06) Pub Date : 2006-04-10 DOI:10.1109/FGR.2006.81

Ying Li, J. Lai, P. Yuen

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引用次数: 14

摘要

本文提出了一种多模板ASM算法，用于解决各种表情的面部图像在非线性形状变化下的面部特征点检测问题。通过添加纹理信息，对人脸外轮廓特征点采用非对称采样策略，构建多个模板，并将局部ASM和全局ASM集成，实验结果表明，多模板ASM算法优于传统的单模板ASM

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Multi-template ASM Method for feature points detection of facial image with diverse expressions

This paper proposed a multi-template ASM algorithm addressing facial feature points detection under nonlinear shape variation of facial images with various kinds of expression. By adding texture information, adopting asymmetric sampling strategy for the feature points on outer contour of face, building multiple templates and integrating local ASM and global ASM, experimental results show that the proposed multi-template ASM algorithm outperforms traditional single template ASM

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7th International Conference on Automatic Face and Gesture Recognition (FGR06)

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