FACIAL SURFACE IMAGING IN BIOBEHAVIORAL ASSESMENT

这个项目的目的是开发一种成本效益高的视频图像分析 系统，使用标准的个人计算机，它提供了一个全面的 来自的一组测量涉及数字化录像带记录 人脸和特征自动检测系统最终可以 包括面部表情、眼睛运动、肤色和 色调、温度和脉搏波的幅度和频率。校长 这一产品的优点将是：(A)规定评估 全面的面部活动范围，目前 无法获得或需要使用昂贵的设备和技术；(B) 能够以非侵入性的方式记录 自然主义背景和实验室环境；(C)自动化 相对于当前方案，测量面部运动；(D) 测量技术的标准化，以及(E)低成本。 将开发特征识别和评分算法，并 将评估经过验证的性能，以证明系统可以 识别地标，区分不同的面部表情。 在第二阶段，整个系统将由廉价的个人 计算机和视频组件。

The aim of this project is to develop a cost-effective video image analysis system, using a standard personal computer, which provides a comprehensive set of measurements from the involves digitizing videotape recordings of the face and automated detection of features system could ultimately include various aspects of facial expression, eye movement, skin color and hue, temperature, and pulse wave amplitude and frequency. The principal advantages of this product will be: (a) provision for assessing a comprehensive range of facial activity which is either currently unavailable or requires the use of expensive equipment and techniques; (b) an ability to record nonintrusively the full range of measures in naturalistic contexts and laboratory environments; (c) automated measurement of facial movement, relative to current protocols; (d) standardization of measurement techniques, and (e) low cost. Algorithms for feature identification and scoring will be developed and validated Performance will be evaluated to demonstrate that the system can identify landmarks, and differentiate between various facial expressions. In Phase II, the full system will be implemented using inexpensive personal computer and video components.