This project aims to develop an advanced device to capture iris, face and gait biometrics at a distance under unconstrained environment. Such a device will be useful for biometrics research, identification industry and public security applications. The joint interdisciplinary research team has good experiences in pattern recognition, computer vision, photoelectrical engineering, precision instruments, and integrated circuit. The device combines light field imaging, depth perception and multispectral imaging to actively capture multi-modal biometric image sequences. Extremely high resolution image sensors are developed from IC combination of multiple CCD or CMOS chips. Embedded computing system will be developed for online processing, encoding, fusion and enhancement of image data. This project will develop the first iris, face and gait image/video database under unconstrained environment and we can use it to develop novel biometric methods and technology.
(Sources of Funding: NSFC)