Collaborative Research: ITR: Automatic Analysis of Spontaneous Facial Expressions

自发面部表情的自动分析摘要本项目的目标是开发用于自动分析自发面部表情的计算机系统，重点是面部表情在欺骗中的作用的科学研究。将开发一个最先进的自发面部表情数字视频数据库。这个数据库将由行为科学家专家对面部表情进行手工编码。该数据库将用于开发一系列软件工具，用于从视频序列中自动分析面部表情。这些工具将由机器感知科学家与行为科学家密切合作开发，并将进行评估和改进，以应用于面部表情的科学研究。机器感知社区迫切需要标准视频数据库来训练和评估面部表情自动识别系统。该项目将提供一个这样的数据库，从而有可能加速这一领域的研究。自动识别系统将对基础研究产生巨大的影响，使面部表情测量更容易作为一种行为测量，提供以前无法获得的面部行为动态数据。这样的系统也将为能够理解人类交流这一关键方面的计算机奠定基础。

Automatic Analysis of Spontaneous Facial ExpressionsAbstractThe goal of this project is to develop computer systems for automatic analysis of spontaneous facial expressions, with a focus on the scientific study of the role of facial expressions in deception. A state-of-the-art digital video database of spontaneous facial expressions will be developed. This database will be hand-coded by behavioral scientist experts on facial expressions. This database will be used to develop an array of software tools for automatic analysis of facial expressions from video sequences. These tools will be developed by machine perception scientists in close collaboration with behavioral scientists and will be evaluated and refined for application to the scientific study of facial expressions.The machine perception community is in critical need for standard video databases to train and evaluate systems for automatic recognition of facial expressions. This project will provide one such database and thus could potentially accelerate research in this field. Automated recognition systems would have a tremendous impact on basic research by making facial expression measurement more accessible as a behavioral measure, providing data on the dynamics of facial behavior at resolutions that was previously unavailable. Such systems would also lay the foundations for computers that can understand this critical aspect of human communication.