O'Toole Alice J, Harms Joshua, Snow Sarah L, Hurst Dawn R, Pappas Matthew R, Ayyad Janet H, Abdi Hervé
School of Behavioral and Brain Sciences, GR41, University of Texas at Dallas, Richardson, TX 75083-0688, USA.
IEEE Trans Pattern Anal Mach Intell. 2005 May;27(5):812-6. doi: 10.1109/TPAMI.2005.90.
We describe a database of static images and video clips of human faces and people that is useful for testing algorithms for face and person recognition, head/eye tracking, and computer graphics modeling of natural human motions. For each person there are nine static "facial mug shots" and a series of video streams. The videos include a "moving facial mug shot," a facial speech clip, one or more dynamic facial expression clips, two gait videos, and a conversation video taken at a moderate distance from the camera. Complete data sets are available for 284 subjects and duplicate data sets, taken subsequent to the original set, are available for 229 subjects.
我们描述了一个包含人脸和人物静态图像及视频片段的数据库，该数据库对于测试面部和人物识别算法、头部/眼睛跟踪算法以及自然人类动作的计算机图形建模很有用。对于每个人，有九张静态“面部照片”和一系列视频流。这些视频包括一个“移动面部照片”、一个面部语音片段、一个或多个动态面部表情片段、两个步态视频以及一个在距相机适中距离处拍摄的对话视频。有284名受试者可获得完整数据集，并且在原始数据集之后获取的重复数据集可供229名受试者使用。
