Robust face recognition using the GAP feature

作者：

Highlights：

• A novel face recognition method is proposed based on the GAP feature.

• It shows good holistic representation of faces, like human's recognition mechanism.

• By using stability of point pairs on faces, it is robust to illumination variations.

• A weighting model detects high discriminative points on faces automatically.

摘要

•A novel face recognition method is proposed based on the GAP feature.•It shows good holistic representation of faces, like human's recognition mechanism.•By using stability of point pairs on faces, it is robust to illumination variations.•A weighting model detects high discriminative points on faces automatically.

论文关键词：Grayscale Arranging Pairs (GAP),Weighting model,Holistic feature,Face recognition

论文评审过程：Received 30 October 2012, Revised 18 March 2013, Accepted 19 March 2013, Available online 29 March 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.03.015