Improved active shape model for facial feature localization using poem descriptor

Lifang Zhou, Bin Fang, Weisheng Li, Peng Lai
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引用次数: 1

Abstract

Aiming at the problem in facial feature location, the Active Shape Models algorithm suffers from variations of poses, illumination and expressions. In this paper, we first introduce the patterns of oriented edge magnitudes descriptor to represent the local appearances of landmarks. It can provide more robust and accurate guidance for search than grey-level profiles. Moreover, the vector of shape parameters is improved by defining the rotation factor. Experimental results show that the proposed method significantly outperforms the original ASM and ASM+LBP method under attitude and illumination variation.
基于诗歌描述符的面部特征定位改进主动形状模型
针对人脸特征定位问题,主动形状模型算法受到姿态、光照和表情变化的影响。在本文中,我们首先引入定向边缘量描述符的模式来表示地标的局部外观。它可以提供比灰色配置文件更强大和准确的搜索指导。此外,通过定义旋转因子对形状参数向量进行了改进。实验结果表明,在姿态和光照变化情况下,该方法明显优于ASM和ASM+LBP方法。
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