Automatic local shape spectrum analysis for 3D facial expression recognition

作者：

Highlights：

• We present a fully automatic framework for 3D facial expression recognition.

• We explore spectral methods as shape descriptors for 3D facial expression analysis.

• Our Graph Laplacian Features are shown to outperform alternative local representations.

• We show results on the 3 most popular databases for 3D facial expression recognition.

摘要

•We present a fully automatic framework for 3D facial expression recognition.•We explore spectral methods as shape descriptors for 3D facial expression analysis.•Our Graph Laplacian Features are shown to outperform alternative local representations.•We show results on the 3 most popular databases for 3D facial expression recognition.

论文关键词：Facial expression recognition,3D face,Spectral shape analysis,Laplace operators

论文评审过程：Received 6 October 2017, Revised 10 April 2018, Accepted 12 September 2018, Available online 22 September 2018, Version of Record 4 October 2018.

论文官网地址：https://doi.org/10.1016/j.imavis.2018.09.007