Method and apparatus for using thermal infrared for face...

Image analysis – Applications – Personnel identification

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S128000, C382S115000

Reexamination Certificate

active

07406184

ABSTRACT:
A methodology and apparatus is described that incorporates the use of thermal infrared imaging into a complete end-to-end face recognition system. Since thermal infrared primarily images emissive phenomenology there are advantages over video imaging in the reflective domain (e.g., visible, near-infrared) for face recognition, particularly with respect to image invariance in the presence of varying illumination incident on the subject. On the other hand video cameras in the reflective domain provide important image detail not apparent in thermal infrared imagery. Fusion of thermal infrared imagery with reflective domain (e.g., visible, near-infrared) imagery provides even further advantages. Embodiments of such systems that incorporate thermal infrared imaging for automatic face recognition are important for access control, verification, identification, and surveillance and monitoring.

REFERENCES:
patent: 5028138 (1991-07-01), Wolff
patent: 5471240 (1995-11-01), Prager et al.
patent: 5555324 (1996-09-01), Waxman et al.
patent: 5557324 (1996-09-01), Wolff
patent: 5726755 (1998-03-01), Wolff
patent: 5781336 (1998-07-01), Coon et al.
patent: 5808350 (1998-09-01), Jack et al.
patent: 6020994 (2000-02-01), Cook
patent: 6046811 (2000-04-01), Wolff et al.
patent: 6173068 (2001-01-01), Prokoski
patent: 6208459 (2001-03-01), Coon et al.
patent: RE37752 (2002-06-01), Wolff
patent: 6539126 (2003-03-01), Socolinsky et al.
patent: 6781127 (2004-08-01), Wolff et al.
patent: 2004/0005086 (2004-01-01), Wolff et al.
patent: 2006/0133571 (2006-06-01), Winsor
“Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures,” Wendy S. Yambor, Bruce A. Draper, J. Ross Beveridge; Computer Science Dept., Colorado State Univ., Jul. 1, 2000.
“Independent component analysis, A new concept?”, Pierre Comon; Elsevier Science B.V., 1994.
“Combination of Classifiers on the Decision Level for Face Recognition,” Bernard Achermann and Horst Bunke; Insitut fur Informatik und angewandte Mathematik, Universitat Bern, Jan. 1996.
“Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class,” Aleix M. Martinez; IEEE, 2002.
“Multi-Modal Person Authentication,” J. Bigun, B. Duc, F. Smeraldi, S. Fischer, and A. Makarov; Nato Advanced Study Institute (ASI) Programme, Stirling, UK, Jun. 23-Jul. 4, 1997.
“Local Feature Analysis: A general statistical theory for object representation,” Penio S Penev and Joseph J Atick; Computational Neuroscience Laboratory, Oct. 9, 1996.
“Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition,” Chengjun Liu and Harry Wechsler; Second Int'l Conf. on Audio- and Video-based Biometric Person Authentication, Mar. 1999.
“Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection,” Peter N. Belhumeur, Joao P. Hespanha, and David J. Kriegman; IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, No. 7, Jul. 1997.
“Efficient Evaluation of Classification and Recognition Systems,” Ross J. Micheals, Terrance E. Boult; Proceedings of 2001 IEEE computer Society Conf. on Comp. Vision and Pattern Recognition, 2001.
“An information-maximisation approach to blind separation and blind deconvolution,” Anthony J. Bell and Terrence J. Sejnowski; Computational Neurobiology Laboratory; Neural Computation, 1995.
“Quantitative Measurement of Illumination Invariance for Face Recognition Using Thermal Infrared Imagery,” Lawrence B. Wolff, Diego A. Socolinsky, Christopher K. Eveland; Equinox Corp.
“Illumination Invariant Face Recognition Using Thermal Infrared Imagery,” Diego A. Socolinsky, Lawrence B. Wolff, Joshua D. Neuheisel, Christopher K. Eveland; Equinox Corp.
“History, Current Status, and Future of Infrared Identification,” Francine Prokoski, Ph.D.; IEEE 2000.
“Comparison of Visible and Infra-Red Imagery for Face Recognition,” Joseph Wilder, P. Jonathon Phillips, Cunhong Jiang, Stephen Wiener; IEEE 1996.
“A Comparative Analysis of Face Recognition Performance with Visible and Thermal Infrared Imagery,” Diego Socolinsky, Andrea Selinger; Equinox Corp.
“Tracking Human Faces in Infrared Video,” Christopher K. Eveland, Diego A. Socolinsky, Lawrence B. Wolff; Equinox Corp.
“Face Recognition: The Problem of Compensating for Changes in Illumination Direction,” Yael Adini, Yael Moses, and Shimon Ullman; IEEE 1997.
“Eigenfaces for Recognition,” Matthew Turk and Alex Pentland; Jrnl. of Cognitive Neuroscience, vol. 3, No. 1, MIT 1991.
“Extending Color Vision Methods to Bands Beyond the Visible ,” D. Scribner, P. Warren and J. Schuler; Naval Research Lab., Code 5636, Washington, D.C. 20375.
“Fused Reflected/Emitted Light Sensors,” S. Horn, J. Campbell, R. Driggers, T. Soyka, P. Norton, P. Perconti; Infrared Tech. and Applications XXVII, Proceedings of SPIE vol. 4369 (2001).
“Integrated Imaging Sensors,” J. Anderson, T. Kostrzewa, L. Cook, G. Baker, et al.; Infrared Technology and Applications XXVII, Proceedings of SPIE vol. 4369 (2001).
“Multi-Sensor Image Fusion,” Y.T. Zhou, HNC Software, Inc., San Diego, CA., 1994 IEEE.
“Multiscale contrast enhancement with applications to image fusion,” Alexander Toet; Optical Engineering, May 1992, vol. 31, No. 5.
“New false color mapping for image fusion,” Alexander Toet, Jan Walraven; Opt. Eng. 35(3) 650-658 (Mar. 1996).
“Color Night Vision: Opponent Processing in the Fusion of Visible and IR Imagery,” A. M. Waxman, A.N. Gove, D.A. Fay, J. P. Racamato, J. E. Carrick, M.C. Seibert and E.D. Savoye; Neural Networks Letter1996.
“Merging Thermal and visual images by a constrast pyramid,” A Toet, L. J. van Ruyven, J. M. Valeton; Optical Eng., Jul. 1989, vol. 28, No. 7.
“Infrared Color Vision: An Approach to Sensor Fusion,” D. Scribner, P. Warren, J. Schuler, M. Satyshur, and M. Kruer; Optics & Photonics News, Aug. 1998.
“Multi-Sensor Image Fusion Using the Wavelet Transform,” H. Li, B.S. Manjunath and S. K. Mitra; 1994 IEEE.
“Digital Picture Processing, Second Edition, vol. 1,” A Rosenfeld, A.C. Kak, Academic Press, 1982.
“On Information Extraction Principles for Hyperspectral Data,” D. Landgrebe, School of Electrical & Comp. Eng., Purdue U., 1997.
“Theory and Analysis of Color Discrimination for the Computation of Color Edges Using Camera Sensors in Machine Vision,” L. B. Wolff and D. A. Socolinsky.
“A Comprehensive Introduction to Differential Geometry,” vol. Two, Second Ed., Michael Spivak, PUblish or Perish, Inc., 1975, 1979.
“Numerical Recipes in C, The Art of Scientific Computing,” W.H. Press, B. P. Flannery, S. A. Teukolsky, W.T. Vetterling; Cambridge Univ. Press, 1988, 1989, 1990.
“Remote SEnsing and Image Interpretation,” Third Edition, T. M. Lillesand, R. W. Kiefer; John Wiley & Sons, 1979, 1987, 1994.
“Digital Step Edges from Zero Crossing of Second Directional Derivatives,” R. M. Haralick.
“Edge Detection in Multispectral Images,” Aldo Cumani; 1991, Academic Press, Inc., CVGIP: Graphical Models and Image Proc., vol. 53, No. 1, Jan., pp. 40-51.
“Perceptual-Based Image Fusion for Hyperspectral Data,” T.A. Wilson, S.K. Rogers, M. Krabrisky; IEEE Transactions on Geoscience and Remote Sensing, Vo. 35, No. 4, Jul. 1997.
“Multispectral Image Visualization through First Order Fusion,” D.A. Scoloinsky, L. B. Wolff; Oct. 26, 1999.
“Multisensor Image fusion techniques in remote sensing,” M. Ehlers; ISPRS Jrnl. of Photogrammetry and Remote Sensing, 46 (1991).
“Multispectral Image Visualization using Local Self-Organizing Maps,” P. Scheunders.
“Data Fusion Techniques fo

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and apparatus for using thermal infrared for face... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and apparatus for using thermal infrared for face..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for using thermal infrared for face... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2813168

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.