FACIAL EXPRESSION ANALYSIS BY IMAGE PROCESSING

描述(改编自调查人员摘要)：面部表情提供 有关情绪反应的敏感线索，并在 对人际行为的规范。基于人-观察者的方法 测量面部表情是劳动密集型的、定性的，而且很难 随着时间的推移，跨实验室实现标准化。为了使可行性变得更加严格， 面部表情的定量测量在不同的应用中， 调查人员组成了一个跨学科的研究小组，涵盖了专业知识 面部表情分析和计算机视觉。1995年8月，这项研究 该小组获得了计算机图像面部表情分析的初步资助 正在处理(NIMH#IRO1MH51435)。在NIMH的支持下，他们创建了大型 方法开发的代表性数据库，并开发和验证了 跟踪数字化图像中的凝视和面部特征的人脸分析系统 婴儿、儿童和成人受试者的序列。在接近正面的视图中，面部 分析系统实现了与人工FACS编码16个的并发有效性 在44个同性恋行动单位和30多个组合中出现。为 竞争更新，调查人员将(1)增加系统的健壮性，以 头部朝向和头部运动(2)增加了可识别动作的数量 包括所有30个具有特定解剖基础的单位，以及(3) 对已开发的人脸进行系统、大规模、全面的测试 使用多个数据库的分析系统。这些数据库包含主题 不同年龄、不同背景和不同类型的情感诱导， 方向、头部运动、面部大小(以像素为单位)和语音存在。 最初收集这些数据库是为了回答有关以下方面的实质性问题 情绪过程；它们代表了面孔分析 该系统将在心理学研究和临床应用中遇到。

DESCRIPTION (adapted from investigator's abstract): Facial expression provides sensitive cues about emotional response and plays a critical role in the regulation of interpersonal behavior. Human-observer based methods for measuring facial expression are labor intensive, qualitative, and difficult to standardize across laboratories and over time. To make feasible more rigorous, quantitative measurement of facial expression in diverse applications, the investigators formed an interdisciplinary research group that covers expertise in facial expression analysis and computer vision. In August 1995, the research group received initial funding for Facial Expression Analysis by Computer Image Processing (NIMH #IRO1MH51435). With NIMH support, they created a large representative database for method development and developed and validated a face analysis system that tracks gaze and facial features in digitized image sequences of infant, child, and adult subjects. In near frontal views, the Face Analysis System has achieved concurrent validity with manual FACS coding for 16 of 44 FAGS action units and more than 30 combinations in which they occur. For the competing renewal, the investigators will (1) Increase system robustness to head orientation and head motion (2) Increase the number of recognizable action units to include all 30 of those that have a specific anatomic basis, and (3) Conduct a systematic, large-scale, comprehensive test of the developed Face Analysis System by using multiple databases. These databases encompass subjects of various ages and backgrounds and varying types of emotion induction, head orientation, head motion, size of the face in pixels, and presence of speech. The databases were initially collected to answer substantive questions about emotion processes; they represent the types of data that the Face Analysis System will encounter in psychology research and clinical applications.