Thermal Face Recognition Based on Multi-scale Image Synthesis

Wei Ta Chu, Ping Shen Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 27th International Conference, MMM 2021, Proceedings
EditorsJakub Lokoc, Tomáš Skopal, Klaus Schoeffmann, Vasileios Mezaris, Xirong Li, Stefanos Vrochidis, Ioannis Patras
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783030678319
Publication statusPublished - 2021
Event27th International Conference on MultiMedia Modeling, MMM 2021 - Prague, Czech Republic
Duration: 2021 Jun 222021 Jun 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12572 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference27th International Conference on MultiMedia Modeling, MMM 2021
Country/TerritoryCzech Republic

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Thermal Face Recognition Based on Multi-scale Image Synthesis'. Together they form a unique fingerprint.

Cite this