A survey of local feature methods for 3D face recognition

作者：

Highlights：

• A survey of 3D face methods with the main focus on local features is conducted.

• The popular 3D face databases are described along with their acquisition technology.

• 3D local descriptors are divided into key-points, curves, and surface-based methods.

• The surveyed approaches are summarized and compared under different conditions.

摘要

•A survey of 3D face methods with the main focus on local features is conducted.•The popular 3D face databases are described along with their acquisition technology.•3D local descriptors are divided into key-points, curves, and surface-based methods.•The surveyed approaches are summarized and compared under different conditions.

论文关键词：Face recognition,Feature extraction,Local features,3-D,Survey

论文评审过程：Received 8 January 2017, Revised 20 July 2017, Accepted 3 August 2017, Available online 4 August 2017, Version of Record 17 August 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.08.003