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