期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B5
页码：789-794
出版社：Copernicus Publications
摘要：Interest in biometric systems has dramatically increased worldwide due to the rising public demand for more reliable and effective criminal identification and effective surveillance systems. Biometric facial recognition has been studied intensely over the past decade due to its potential applications in government, law enforcement and business. Previous studies in facial recognition have tended to focus on using two-dimensional (2D) images. The performance of current 2D image-based facial recognition systems, however, is clearly unsatisfactory due to their sensitivity to changes in facial expression, body position, lighting, sensor conditions and other disturbance factors. Further, some 2D systems are easily fooled by simply presenting a photo in front of the sensor. The move from 2D to three-dimensional (3D) recognition technology is expected to improve performance in real-life environments. This study developed a low-cost imaging system to capture overlapping imagery which was then used to construct a 3D facial model. The generated 3D model was then registered and matched with available 3D models in a central database for personal verification or identification purposes. The experimental results showed that low-cost digital cameras, after proper calibration, can construct accurate 3D facial models when combined with an active pattern projection system. Preliminary experiments also demonstrate the feasibility and robustness of the proposed automatic surface registration and matching procedure. This study discusses the performance, advantages and limitations of the proposed method
