Thermal face recognition based on transformation by residual U-net and pixel shuffle upsampling

Soumya Chatterjee, Wei Ta Chu

研究成果: Conference contribution

摘要

We present a thermal face recognition system that first transforms the given face in the thermal spectrum into the visible spectrum, and then recognizes the transformed face by matching it with the face gallery. To achieve high-fidelity transformation, the U-Net structure with a residual network backbone is developed for generating visible face images from thermal face images. Our work mainly improves upon previous works on the Nagoya University thermal face dataset. In the evaluation, we show that the rank-1 recognition accuracy can be improved by more than 10%. The improvement on visual quality of transformed faces is also measured in terms of PSNR (with 0.36 dB improvement) and SSIM (with 0.07 improvement).

原文English
主出版物標題MultiMedia Modeling - 26th International Conference, MMM 2020, Proceedings
編輯Wen-Huang Cheng, Junmo Kim, Jung-Woo Choi, Wei-Ta Chu, Peng Cui, Min-Chun Hu, Wesley De Neve
發行者Springer
頁面679-689
頁數11
ISBN(列印)9783030377304
DOIs
出版狀態Published - 2020
事件26th International Conference on MultiMedia Modeling, MMM 2020 - Daejeon, Korea, Republic of
持續時間: 2020 一月 52020 一月 8

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11961 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference26th International Conference on MultiMedia Modeling, MMM 2020
國家/地區Korea, Republic of
城市Daejeon
期間20-01-0520-01-08

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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