Thermal Face Recognition Based on Multi-scale Image Synthesis

Wei Ta Chu, Ping Shen Huang

研究成果: Conference contribution

摘要

We present a transformation-based method to achieve thermal face recognition. Given a thermal face, the proposed model transforms the input to a synthesized visible face, which is then used as a probe to compare with visible faces in the database. This transformation model is built on the basis of a generative adversarial network, mainly with the ideas of multi-scale discrimination and various loss functions like feature embedding, identity preservation, and facial landmark-guided texture synthesis. The evaluation results show that the proposed method outperforms the state of the art.

原文English
主出版物標題MultiMedia Modeling - 27th International Conference, MMM 2021, Proceedings
編輯Jakub Lokoc, Tomáš Skopal, Klaus Schoeffmann, Vasileios Mezaris, Xirong Li, Stefanos Vrochidis, Ioannis Patras
發行者Springer Science and Business Media Deutschland GmbH
頁面99-110
頁數12
ISBN(列印)9783030678319
DOIs
出版狀態Published - 2021
事件27th International Conference on MultiMedia Modeling, MMM 2021 - Prague, Czech Republic
持續時間: 2021 六月 222021 六月 24

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12572 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference27th International Conference on MultiMedia Modeling, MMM 2021
國家/地區Czech Republic
城市Prague
期間21-06-2221-06-24

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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