论文标题
面部热图像的自发情绪识别
Spontaneous Emotion Recognition from Facial Thermal Images
论文作者
论文摘要
大量出版物解决的计算机视觉研究领域之一是对包含人面孔的图像的处理和理解。最常见的任务包括面部检测，面部地标定位，面部识别和面部表达分析。其他更专业的任务，例如情感计算，从视频中提取生命体征或社交互动分析通常需要必须执行的一个或几个上述任务。在我们的工作中，我们分析了当前使用专门基于规则的方法或根本无法解决的热红外图像中面部图像处理的大量任务可以使用现代基于学习的方法来解决。我们已经使用USTC-NVIE数据库来培训许多机器学习算法，以进行面部地标本地化。
One of the key research areas in computer vision addressed by a vast number of publications is the processing and understanding of images containing human faces. The most often addressed tasks include face detection, facial landmark localization, face recognition and facial expression analysis. Other, more specialized tasks such as affective computing, the extraction of vital signs from videos or analysis of social interaction usually require one or several of the aforementioned tasks that have to be performed. In our work, we analyze that a large number of tasks for facial image processing in thermal infrared images that are currently solved using specialized rule-based methods or not solved at all can be addressed with modern learning-based approaches. We have used USTC-NVIE database for training of a number of machine learning algorithms for facial landmark localization.
