A novel local wavelet energy mesh pattern (LWEMeP) for heterogeneous face recognition

作者：

Highlights：

• Challenging heterogeneous face recognition (HFR) problem is considered.

• Local adaptive 2D-wavelet packet energy feature is measured to get local edge and texture information.

• Inspired from networking mesh topology, a novel derived local mesh pattern (DLMeP) is proposed.

• Proposed LWEMeP combining with deep learning enhance the recognition accuracy.

摘要

•Challenging heterogeneous face recognition (HFR) problem is considered.•Local adaptive 2D-wavelet packet energy feature is measured to get local edge and texture information.•Inspired from networking mesh topology, a novel derived local mesh pattern (DLMeP) is proposed.•Proposed LWEMeP combining with deep learning enhance the recognition accuracy.

论文关键词：Wavelet transform,Local wavelet energy,Derived local mesh pattern,Local wavelet energy mesh pattern,Heterogeneous face recognition

论文评审过程：Received 10 April 2017, Revised 22 October 2017, Accepted 28 January 2018, Available online 7 February 2018, Version of Record 5 March 2018.

论文官网地址：https://doi.org/10.1016/j.imavis.2018.01.004