Combining face averageness and symmetry for 3D-based gender classification

作者：

Highlights：

• New Dense Scalar Fields grounding on Riemannian Geometry for 3D facial shape analysis.

• New averageness and symmetry descriptors for gender classification.

• Combining averageness and symmetry for better gender classification.

• Competitive classification results with state-of-the-art.

摘要

Highlights•New Dense Scalar Fields grounding on Riemannian Geometry for 3D facial shape analysis.•New averageness and symmetry descriptors for gender classification.•Combining averageness and symmetry for better gender classification.•Competitive classification results with state-of-the-art.

论文关键词：3D Face,Gender classification,Face averageness,Face symmetry,Dense scalar field,Feature selection,Random Forest

论文评审过程：Received 30 January 2013, Revised 17 September 2014, Accepted 21 September 2014, Available online 8 October 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.09.021