Overview     Photographic Room    Example images



CAS-PEAL face database is constructed by Joint Research&Development Laboratory  for Advanced Computer and Communication Technologies (JDL) of Chinese Academy of Sciences (CAS), under the support of the Chinese National Hi-Tech (863) Program  and the ISVISION Tech. Co. Ltd. The construction of the CAS-PEAL face database aiming at  providing the worldwide researchers of FR community a large-scale Chinese face database for studying, developing, and evaluating their algorithms. The CAS-PEAL large-scale face images with different sources of variations, especially Pose, Expression, Accessories, and Lighting (PEAL) would be used to advance the state-of-the-art face recognition technologies aiming at practical applications especially for the oriental. 
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 setup 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 accessories (3 glasses, and 3 caps), and 15 lighting directions, as well as varying backgrounds, distance from cameras, and aging variation.

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The JDL Photographic Room

In order to capture face images conveniently and efficiently, a special photographic room is setup in the Joint Research & Development Lab of Chinese Academy of Sciences. The space size of the room is about 4m*5m*3.5m. To capture faces with different poses, expression, accessories, and lighting, some special equipment are configured in the room including multiple digital cameras, all kinds of lamps, accessories (glasses, hats). 

Camera system

In our photographic room, a camera system consisting of nine digital cameras and a computer is elaborately designed. All the nine cameras are placed in a horizontal semicircular shelf with radius and height being 0.8 meters and 1.1 meters respectively. The type of the cameras is web-eye PC631 with 370,000 pixels CCD. They are all pointed to the center of the semicircular shelf and labeled as 0 to 8 from the subject’s right to left. The planform of the cameras distributed on the semicircle shelf is illustrated in following figure. 

All of the nine cameras are connected to and controlled by the same computer through USB interface. The computer has been specially designed to support nine USB ports. We have designed software ourselves to control the nine cameras and capture images from them simultaneously in one shot. In each shot, the software can obtain nine images of the subject across different poses within no more than 2 seconds and store these images in the hard disk using a uniform naming conventions.

Lighting System

To cover varying lighting conditions, we setup a lighting system in our photographic room using multiple lamps and lanterns. To simulate the ambient illumination, two photographic sunlamps of high power covered with ground glass are used to mimic the indoor lighting environment. Actually, to obtain uniform lighting, they are arranged to irradiate to the matte white wall.

Then, some fluorescent lamps are coarsely arranged as “lighting sources” to form the varying lighting conditions. The lamps are configured in a spherical coordinate as shown in Figure 3, whose origin is the center of the circle, which coincided with the semicircular shelf. Fifteen fluorescent lamps are placed at the “lamp” positions as shown in the following figure, which are uniformly located at specific 5 azimuths (-90o, -45o, 0o, +45o, +90o) and 3 elevations (-45o, 0o, +45o). By turning on/off each lamp, different lighting conditions are simulated. In order to decrease the labor, currently, we are exploiting a multiplex switch circuit to control the on/off of these lamps. Note that, in all cases, the ambient lamps are kept on. And for the purpose of mimicking practicality simply, the flash systems like CMU or YALE are not exploited in our case. Therefore, these images with varying lighting conditions are recommended for the purpose of image processing and face recognition under natural illumination.

Accessories: Glasses and Caps

Several kinds of glasses and hats are prepared in the room used as accessories to further increase the diversity of the database. The glasses consisted of dark frame glasses, thin and white frame glasses, glasses without frame. The hats also have brims of different size and shape.


Without special statement, we are capturing face images with a blue cloth as the default background. However, in practical applications, many cameras are working under the auto-white balance mode, which may change the face appearance much. Therefore, it is necessary to mimic this situation in the database. In the current version of the CAS-PEAL, we just consider the cases when the background color has been changed. Concretely, five sheets of cloth with five different unicolors (blue, white, black, red and yellow) are used.


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Example images in CAS-PEAL












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For more information about the CAS-PEAL face database, 
please refer to our Technical Report on CAS-PEAL.