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Vertex saliency computation from 3D facial meshes

机译:从3D面部网格计算顶点显着性

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This paper presents a novel method to compute vertex saliency from 3D facial meshes. Among the many descriptors for vertices, Spin-image correlation and curvature are used based on competition and cooperation mechanisms. The proposed method has been tested on the IAIR-3Dface Database for evaluating the generated salient regions on 3D facial meshes. Experimental results demonstrate that both the abundance ratio and accuracy of the salient regions can be improved by the cooperation mechanisms compared to the competition mechanisms.
机译:本文提出了一种从3D面部网格计算顶点显着性的新方法。在许多顶点描述符中,基于竞争和合作机制使用了自旋图像相关性和曲率。所提出的方法已在IAIR-3Dface数据库上进行了测试,用于评估3D面部网格上生成的显着区域。实验结果表明,与竞争机制相比,合作机制可以提高显着区域的丰度比和准确性。

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