Abstract
Facial analysis in the thermal infrared spectrum enables low-light operation, medical diagnostics, and privacy-preserving biometrics, but scarce annotated datasets limit progress. We introduce TFD68: 28,496 thermal images of 137 individuals, each paired with a visual image matched for head poses, occlusions, and expression. Every thermal image includes 68 facial landmarks and per-pixel thermal maps. The dataset contains systematic yaw and pitch variations, accessory occlusions, and a wide range of expressions to support pose-invariant, occlusion-resilient evaluation. We demonstrate TFD68’s utility on thermal facial landmark detection and facial expression recognition, and show that it enables cross-modal and physiological analyses. To our knowledge, TFD68 is the first thermal facial dataset combining detailed landmark annotations, visual-thermal pairs, and temperature maps, establishing a foundation for advanced thermal facial research.
| Original language | English |
|---|---|
| Title of host publication | SA Technical Communications '25: Proceedings of the SIGGRAPH Asia 2025 Technical Communication |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9798400721366 |
| DOIs | |
| Publication status | Published - 15 Dec 2025 |
Keywords
- Thermal facial dataset
- biometrics
- facial expression recognition
- facial landmark detection
- thermal maps
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Human-Computer Interaction
Fingerprint
Dive into the research topics of 'TFD68: A Fully Annotated Thermal Facial Dataset with 68 Landmarks, Pose Variations, Per-Pixel Thermal Maps, Visual Pairs, Occlusions, and Facial Expressions'. Together they form a unique fingerprint.Datasets
-
TFD68: A Fully Annotated Thermal Facial Dataset with 68 Landmarks, Pose Variations, Occlusions, Expressions, and Paired Visual Images
Rudrusamy, B. (Creator) & Ng, Y. C. (Data Collector), Heriot-Watt University, 28 Feb 2026
DOI: 10.17861/42cfb357-88db-4acb-bf94-f65430e10317, https://forms.office.com/e/yu6JQD5Eiq
Dataset
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver