3D Scanning for Biometric Identification and Verification

Reliable and robust identification and verification of individuals is critical to homeland security applications such as surveillance, authorization for entry to secure areas, and passport identity verification. Traditional biometrics, such as mug shots, fingerprints, and voice recognition, have been used with some success. However, they exhibit serious disadvantages for some tasks. These three biometrics, for example, are problematic for surveillance (identification); even the traditional mug shot is difficult to use in automated surveillance applications because many factors, such as lighting and frontal visibility, cannot be controlled.

[1]  L. McMillan,et al.  Video enhancement using per-pixel virtual exposures , 2005, SIGGRAPH 2005.

[2]  Yasushi Yagi,et al.  A Sensor for Simultaneously Capturing Texture and Shape by Projecting Structured Infrared Light , 2007, Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007).

[3]  Anselmo Lastra,et al.  Physically-based visual simulation on graphics hardware , 2002, HWWS '02.

[4]  Oliver Bimber,et al.  Imperceptible Calibration for Radiometric Compensation , 2007, Eurographics.

[5]  O. Faugeras Three-dimensional computer vision: a geometric viewpoint , 1993 .

[6]  Patrick J. Flynn,et al.  Image understanding for iris biometrics: A survey , 2008, Comput. Vis. Image Underst..

[7]  Markus H. Gross,et al.  Embedding imperceptible patterns into projected images for simultaneous acquisition and display , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

[8]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[9]  Reinhard Koch,et al.  Visual Modeling with a Hand-Held Camera , 2004, International Journal of Computer Vision.

[10]  Ovidio Salvetti,et al.  Object tracking in a stereo and infrared vision system , 2007 .

[11]  Bernard Abayowa Thermal infrared exploitation for 3D face reconstruction , 2009, Defense + Commercial Sensing.

[12]  Jeffrey L. Posdamer,et al.  Surface measurement by space-encoded projected beam systems , 1982, Comput. Graph. Image Process..

[13]  Markus H. Gross,et al.  Adaptive Instant Displays: Continuously Calibrated Projections Using Per‐Pixel Light Control , 2005, Comput. Graph. Forum.

[14]  John Daugman How iris recognition works , 2004 .

[15]  Greg Welch,et al.  The office of the future: a unified approach to image-based modeling and spatially immersive displays , 1998, SIGGRAPH.

[16]  Luc Van Gool,et al.  From images to 3D models , 2002, CACM.

[17]  Alice J. O'Toole,et al.  FRVT 2006 and ICE 2006 large-scale results , 2007 .