Robust regional bounding spherical descriptor for 3D face recognition and emotion analysis

作者：

Highlights：

• A regional bounding spherical descriptor is used for 3D face and emotion analysis.

• Region segmentation is based on shape index and spherical band on 3D face.

• The regional descriptors are obtained by projecting regional bounding spheres.

• A regional and global regression is proposed for the weighted regional descriptor.

摘要

•A regional bounding spherical descriptor is used for 3D face and emotion analysis.•Region segmentation is based on shape index and spherical band on 3D face.•The regional descriptors are obtained by projecting regional bounding spheres.•A regional and global regression is proposed for the weighted regional descriptor.

论文关键词：3D face recognition,Emotion analysis,Regional bounding spherical descriptor,Regional and global regression,Kullback–Leiber divergence (KLD)

论文评审过程：Received 23 August 2013, Revised 29 April 2014, Accepted 25 December 2014, Available online 6 January 2015.

论文官网地址：https://doi.org/10.1016/j.imavis.2014.12.003