Single View 3D Face Recognition Technology Development

"We propose to use 3D stereo-based sensors to provide passive, fast, compact, 3D capture of the human face. During Phase 1 we investigate the feasibility and performance of this method with an experimental capture rig for cooperative subjects. The deviceconsists of one to three pre-calibrated stereo camera heads installed in a compact rig, about the size of a briefcase. Depth sensing will be performed by the Tyzx DeepSea stereo-vision ASIC. Depth sensing results will be merged into a3D model forvalidation against reference objects. These results will be used to specify a deployable stand-alone, single view sensor unit with small footprint, low power, capable of providing real time results. We will also investigate the utility of using this systemto capture 3D image sequences which can be of value to recognizers and include this data with a 3D image database acquired with the capture rig. In Phase 2, the standalone unit will be constructed and evaluated under a wider set of operating conditions.Face recognition and identification capabilities are severely limited by variations in pose. Emerging research indicates that using special techniques combined with 3D data of subjects may significantly enhance face recognition performance. Contemporary3D facial image acquisition, however, is cumbersome and time consuming, requiring multiple sensors, complex apparatus, and cooperative subjects. Frequently, these techniques make use of activ