Comprehensive Facial Thermal Dataset

The dataset comprises 2250 thermal images obtained using a UNI-T UTi165A camera specifically for face detection, recognition, and emotion analysis purposes. Each individual in the dataset is represented by 225 facial recognition images and 450 emotion-specific images (including happy, sad, angry, normal, and surprised expressions).

Spanning diverse conditions, color palettes, shooting angles, and zoom levels, the dataset offers a temperature range of -10°C to 400°C and a resolution of 19,200 pixels. This dataset stands as a crucial asset for the advancement of thermal imaging technology, facilitating algorithmic development and benchmarking for facial recognition across varied palettes.

Moreover, it contributes significantly to the realm of facial motion recognition, fostering interdisciplinary collaborations across computer vision, psychology, and neuroscience domains. The dataset's availability promotes transparency in thermal face detection and recognition research, offering wide-ranging applications in fields such as security, healthcare, and human-computer interaction."

本数据集包含2250张热成像图像（thermal images），均通过UNI-T UTi165A型红外热像仪采集，专门用于人脸检测、人脸识别与情感分析任务。数据集中每位受试者均对应225张人脸识别图像与450张特定情感图像，涵盖开心、难过、愤怒、中性以及惊讶五种表情。
该数据集覆盖多样化的采集条件、伪彩色调色板（color palettes）、拍摄角度与变焦级别，其温度采集范围为-10℃至400℃，图像分辨率达19200像素。本数据集是推动热成像技术发展的重要资源，可助力不同伪彩色调色板下的人脸识别算法研发与性能基准测试。
此外，该数据集为人脸运动识别领域做出了重要贡献，可推动计算机视觉、心理学与神经科学等跨学科领域的协作研究。该数据集的公开可获取性提升了热成像人脸检测与识别研究的透明度，可在安防、医疗保健与人机交互等领域实现广泛应用。

搜集汇总

背景与挑战

背景概述

该数据集包含2250张热成像图像，专门用于人脸检测、识别和情感分析，涵盖多种条件和温度范围，适用于计算机视觉、心理学等多个领域的算法开发和基准测试。