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A Survey on Thermal to Visual Cross Domain Face Recognition
  • +1
  • Yaswanth Gavini,
  • B M Mehtre,
  • Venu Govindaraju,
  • Arun Agarwal
Yaswanth Gavini
School of Computer and Information Sciences, University of Hyderabad

Corresponding Author:[email protected]

Author Profile
B M Mehtre
Centre of Excellence in Cyber Security, Institute for Development and Research in Banking Technology
Venu Govindaraju
Department of Computer Science and Engineering, University at Buffalo, SUNY
Arun Agarwal
School of Computer and Information Sciences, University of Hyderabad

Abstract

Thermal to visual cross-domain face recognition is the process of recognising faces captured in the thermal domain and matching them with the visual domain images. Its significance lies in enabling accurate face recognition across different domains, allowing for enhanced security and surveillance capabilities in various environments, particularly during night-time or adverse weather conditions where thermal imaging excels. By bridging the gap between thermal and visual domains, this cross-domain face recognition improves the overall performance and applicability of face recognition systems in real-world scenarios. This survey explores the existing literature on thermal-to-visual cross-domain face recognition, categorising it into two distinct approaches: the first classification is based on the learning model, and the other is on generalisation approaches. This survey aims to provide a nuanced understanding of the current landscape, methodologies, and challenges in this evolving field by systematically reviewing and categorising the extensive body of research in thermal-to-visual cross-domain face recognition.
04 Feb 2024Submitted to TechRxiv
12 Feb 2024Published in TechRxiv