Image analysis – Applications – Personnel identification
Reexamination Certificate
2005-03-28
2009-06-02
Desire, Gregory M (Department: 2624)
Image analysis
Applications
Personnel identification
C348S036000, C348S169000, C382S103000, C382S284000
Reexamination Certificate
active
07542592
ABSTRACT:
Methods for image processing for detecting and recognizing an image object include detecting an image object using pose-specific object detectors, and performing fusion of the outputs from the pose-specific object detectors. The image object is recognized using pose-specific object recognizers that use outputs from the pose-specific object detectors and the fused output of the pose-specific object detectors; and by performing fusion of the outputs of the pose-specific object recognizers to recognize the image object.
REFERENCES:
patent: 5835616 (1998-11-01), Lobo et al.
patent: 6671391 (2003-12-01), Zhang et al.
patent: 7027619 (2006-04-01), Pavlidis et al.
patent: 7030775 (2006-04-01), Sekiguchi
patent: 7155037 (2006-12-01), Nagai et al.
patent: 7324670 (2008-01-01), Kozakaya et al.
patent: 7324671 (2008-01-01), Li et al.
patent: 7440637 (2008-10-01), Schechner et al.
patent: 2003/0053664 (2003-03-01), Pavlidis et al.
patent: 2003/0108244 (2003-06-01), Li et al.
patent: 2003/0123754 (2003-07-01), Toyama
patent: 2003/0204384 (2003-10-01), Owechko et al.
patent: 2004/0105573 (2004-06-01), Neumann et al.
patent: 2005/0226471 (2005-10-01), Singh et al.
patent: 2006/0028552 (2006-02-01), Aggarwal et al.
patent: 2006/0187305 (2006-08-01), Trivedi et al.
patent: 2007/0160296 (2007-07-01), Lee et al.
Beymer D J: Face recognition under varying pose Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on Seattle, WA, USA Jun. 21-23, 1994, Los Alamitos, CA, USA,IEEE Comput. Soc, Jun. 21, 1994, pp. 756-761, XP010099341 ISBN: 0-8186-5825-8 section 4.2 Recognition Algorithm abstract.
Zhihong Pan et al: “Face Recognition in Hyperspectral Images” IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Inc. New York, US, vol. 25, No. 12, Dec. 2003, pp. 1552-1560, XP001186942 ISSN: 0162-8828 cited in the application abstract.
Binglong Xie et al: “Component Fusion for Face Detection in the Presence of Heteroscedastic Noi se” Proceedings Annual Conference of the German Society for Pattern Recognition DAGM, Sep. 10, 2003, pp. 434-441, XP002316745 section 2 Component Detectors abstract.
Heisele B et al: “Component-based face detection” Proceedings 2001 IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2001. Kauai, Hawaii, Dec. 8-14, 2001, Proceedings of the IEEE Computer Conference on Computer Vision and Pattern Recognition, Los Alamitos, CA, IEEE Comp. Soc, US, vol. 1 of 2, Dec. 8, 2001, pp. 1657-1662, XP002316744 ISBN: 0-7695-1272-0 abstract.
Moghaddam B et al: Face Recognition Proceedings of the SPIE, SPIE, Bellinoham, VA, US, vol. 2277, Jul. 28, 1994, pp. 12-21, XP000579416 ISSN: 0277-786X section 3 Estimation of Head Orientation abstract.
Pentland A et al: View-Based and Modular Proceedings IEEE Computer Society Conference OM Computer Vision and Pattern Recognition, 1994, pp. 1-7, XP000197979 section 4.2 View-invariant detection abstract.
Bileschi S M et al: “advances in Component-based Face Detection” Lecture Notes in Computer Science, Springer Verlag, New York, NY, US, vol. 2388, 2002, pp. 135-143, XP002297851 ISSN: 0302-9743 abstract.
Baratoff Gregory
Bascle Benedicte
Comaniciu Dorin
Köhler Thorsten
Okada Kazunori
Desire Gregory M
F. Chau & Associates LLC
Paschburg Donald B.
Siemens Aktiengesellschaft
Siemesn Corporate Research, Inc.
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