Gmlm-cnn: a hybrid solution to swir-vis face verification with limited imagery

HIGHLIGHTS

• who: Zhicheng Cao and collaborators from the Technology, Xidian University, Xi`an, China have published the Article: GMLM-CNN: A Hybrid Solution to SWIR-VIS Face Verification with Limited Imagery, in the Journal: Sensors 2022, 22, 9500. of /2022/
• what: In view of the issue of limited imagery as aforementioned, this research work provides an alternative solution to traditional hand-crafted operator based methods and current deep learning methods. The authors propose a new descriptor operating at this level. In the experiments, the authors first study the performance of GMLM-CNN, the hybrid method proposed . . .
  

   

  

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