Open-set face recognition across look-alike faces in real-world scenarios

作者：

Highlights：

• This paper uses 3D reconstructed models to recognize look-alike faces.

• A feature is extracted from both facial reconstructed depth and texture images.

• This paper proposes likeness dictionary learning.

• Three open-set classification methods are proposed for real-world face recognition.

摘要

•This paper uses 3D reconstructed models to recognize look-alike faces.•A feature is extracted from both facial reconstructed depth and texture images.•This paper proposes likeness dictionary learning.•Three open-set classification methods are proposed for real-world face recognition.

论文关键词：Open-set face recognition,Look-alike face,Facial plastic surgery,Sparse representation,Collaborative representation,Real-world scenarios

论文评审过程：Received 7 March 2016, Revised 22 August 2016, Accepted 3 November 2016, Available online 13 November 2016, Version of Record 29 November 2016.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.11.002