CAS-PEAL Large-Scale Chinese Face Database and Evaluation Protocols
Wen Gao, Bo Cao, Shiguang Shan, Delong Zhou, Xiaohua Zhang, Debin Zhao · 2004
The ICT-ISVISION Joint Research & Development Laboratory (JDL) for Face Recognition has constructed the CAS-PEAL face database, supported by National Hi-Tech Program and ISVISION Technologies Co., Ltd. The goals to create the PEAL face database include (1) providing the worldwide researchers of FR community a large-scale face database for training and evaluating their algorithms; (2) facilitating the development of FR by providing large-scale face images with different sources of variations, especially Pose, Expression, Accessories, and Lighting (PEAL); (3) advancing the state-of-the-art face recognition technologies aiming at practical applications especially for the oriental. Currently, the CAS-PEAL face database contains 99,594 images of 1040 individuals (595 males and 445 females) with varying Pose, Expression, Accessory, and Lighting (PEAL). For each subject, 9 cameras spaced equally in a horizontal semicircular shelf are used to simultaneously capture images across different poses in one shot. Each subject is also asked to look up and down to capture 18 images in another two shots. We also considered 5 kinds of expressions, 6 kinds of accessories (3 pairs of glasses, and 3 caps), and 15 lighting directions. This face database is now partly made available (a subset named by CAS-PEAL-R1, containing