中文摘要：

基于图像的二维人脸识别技术日趋成熟，但仍受光照、姿态和表情等变化的影响。利用三维人脸模型提高人脸识别性能并将其应用于实际成为近几年学术界的研究趋势。本文提出了SWJTU—MF多模人脸数据库（SWJTU multimodal face database，SWJTU-MF Database），包含200个中性表情中国人的4种人脸样本数据，包括可见光图像、二维视频序列、三维人脸（高精度）和立体视频序列。本文首先分类介绍现有的三维人脸识别算法，然后概述相关的多模人脸数据库，接着提出SWJTU-MF多模人脸数据库，并说明数据库的采集装置、采集环境、采集过程及数据内容，随后简要展示数据标准化过程。最后讨论本数据库面向的应用研究，并给出SWJTU—MF建议的评测协议。

英文摘要：

Although 2D-based face recognition technology becomes more and more mature, recognition re- sults are still affected by light, posture, facial expressions and other changes. It is a trend to improve the performance of face recognition by 3D face model as well as to apply 3D face recognition in practice. To tackle these problems, SWJTU multimodal face database which contains face data from 200 Chinese peo- ple with neutral expression is proposed. The database includes visible light images, video sequences, 3D face models （high resolution） and stereo video sequences. Here, we describe the apparatuses, environ- ments and procedure of the data collection and present the normalization procedure of the database. Final- ly, database applications are discussed and then several evaluation protocols for SWJTU multimodal face database are presented to measure face recognition and reconstruction performance.