DLFace: Deep local descriptor for cross-modality face recognition

作者：

Highlights：

• We develop a deep local descriptor for cross-modality face recognition, which can learn discriminant information from image patches.

• We propose an enumeration loss function to eliminate modality gap on local patch level, which is integrated into a convolutional neural network.

• Extensive experiments show that DLFace outperforms existing methods, which demonstrate the effectiveness of our method.

摘要

•We develop a deep local descriptor for cross-modality face recognition, which can learn discriminant information from image patches.•We propose an enumeration loss function to eliminate modality gap on local patch level, which is integrated into a convolutional neural network.•Extensive experiments show that DLFace outperforms existing methods, which demonstrate the effectiveness of our method.

论文关键词：Cross modality,Local descriptor,Composite sketch,ID photo,NIR-VIS matching

论文评审过程：Received 27 September 2018, Revised 7 December 2018, Accepted 25 January 2019, Available online 28 January 2019, Version of Record 30 January 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.01.041