The THU multi-view face database for videoconferences

In this paper, we present a face video database that contains 31,500 videos of 100 individual volunteers. The primary purpose of building this database is to serve as a standardized test video sequences for any research related to video-conferences. Each of the volunteers was filmed by 9 groups of synchronized webcams under 7 illumination conditions, and was requested to complete a series designated actions. Thus, face variations on lip shape, occlusion, illumination, pose, and expression are presented in each video clip. Compared to the existing databases, THU face database provides multi-view video sequences with strict temporal synchronization, enabling evaluations on gaze-correction methods. Besides, based on our database, three well-known methods were tested, demonstrating the numerical performances under different circumstances. Free samples of this database can be downloaded at www.facedbv.com.