Thermal Facial

Thermal facial imaging analyzes infrared radiation emitted from the face to extract physiological and emotional information, primarily focusing on applications in healthcare, security, and human-computer interaction. Current research utilizes deep learning models, including GANs and Vision Transformers, to analyze thermal images for tasks such as emotion recognition, fatigue detection, and visible-to-thermal image translation, often addressing challenges like image registration and pose variation. The availability of large, annotated thermal facial datasets is crucial for advancing these techniques and improving the accuracy and reliability of thermal-based analyses, ultimately leading to more robust and practical applications.