Image analysis – Applications – Personnel identification
Reexamination Certificate
2011-03-22
2011-03-22
Tucker, Wesley (Department: 2624)
Image analysis
Applications
Personnel identification
C382S115000, C382S118000
Reexamination Certificate
active
07912252
ABSTRACT:
A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being.
REFERENCES:
patent: 7164784 (2007-01-01), Beardsley
patent: 7599847 (2009-10-01), Block et al.
patent: 7627147 (2009-12-01), Lolacono et al.
patent: 2005/0084137 (2005-04-01), Kim et al.
patent: 2007/0274570 (2007-11-01), Hamza
patent: 2010/0111370 (2010-05-01), Black et al.
patent: 2010/0187311 (2010-07-01), van der Merwe et al.
J. R. Matey, K. Hanna, R. Kolczynski, D. Lolacono, S. Mangru, O. Naroditsky, M. Tinker, T. Zappia and W. Y. Zhao, “Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments,” Proceeding of IEEE, vol. 94, Issue 11, Nov. 2006 at pp. 1936-1947 (Summary attached 1 page).
G. Guo, M. Jones and P. Beardsley, “A System for Automatic Iris Capturing,” Mitsubishi Electric Research Laboratories, Massachusetts, TR2005-044, Jun. 2005 (10 pages).
S. Yoon, H. G. Jung, J. K. Suhr, and J. Kim, “Non-Intrusive Iris Image Capturing System Using Light Stripe Projection and Pan-Tilt-Zoom Camera,” IEEE Conference, Biometrics Workshop; Computer Vision and Pattern Recognition, Published Jun. 17-22, 2007, pp. 1-7, at Minneapolis, MN (Abstract attached 1 page).
X. Huang, J. Gao, and R. Yang, “Calibrating Pan-Tilt Cameras with Telephoto Lenses,” ACCV at pp. 127-137; Graphics and Vision Technology Lab (Gravity), Center for Visualization and Virtual Environments, University of Kentucky. (10 pages).
B. J. Kang and K. R. Park, “Real-Time Image Restoration for Iris Recognition Systems,” IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 37, Issue 6 on pp. 1555-1566, Dec. 2007 (Abstract attached 1 page).
A. Levin, R. Fergus, F. Durand and W. T. Freeman, “Image and Depth From a Conventional Camera with a Coded Aperture,” Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, ACM Transactions on Graphics, 2007. (9 pages).
Q. Shan, J. Jia and A. Agarwala, “High-Quality Motion Deblurring from a Single Image,” The Chinese University of Hong Kong, Department of Computer Science and Engineering; ACM Siggraph conference, 2008. (10 pages).
R. Fergus, B. Singh, A. Hertzmann, S. T. Rowels, and W. T. Freeman, “Removing Camera Shake from a Single Photograph,” MIT CSAIL, University of Torronto; ACM Transactions on Graphics, 2006. (8 pages).
Huang Xinyu
Ren Liu
Yang Ruigang
Robert & Bosch GmbH
Swedo, Esq. Keith
Taft Stettinius & Hollister LLP
Tucker Wesley
LandOfFree
Time-of-flight sensor-assisted iris capture system and method does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Time-of-flight sensor-assisted iris capture system and method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Time-of-flight sensor-assisted iris capture system and method will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2721263