3D facial feature location based on local shape map

Wang Mi-gong, Chen Duan-sheng
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Abstract

Automatic location of face salient points is one of the key steps in 3D face recognition. This paper presents a fully automatic locating algorithm for 3D facial nose tip and inner eye corner in different views, which relies on a statistical model by combining local shape map and local shape index with the statistical radius of the local shape map. The experimental results on the CASIA 3D face database demonstrate that this method finds more precise location than heuristic algorithms and curvature-based methods.
基于局部形状图的三维人脸特征定位
人脸显著点的自动定位是三维人脸识别的关键步骤之一。本文提出了一种基于局部形状图和局部形状指数与局部形状图的统计半径相结合的统计模型,在不同视图下对三维面部鼻尖和内眼角进行全自动定位的算法。在CASIA三维人脸数据库上的实验结果表明,该方法比启发式算法和基于曲率的方法定位精度更高。
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