Image analysis – Applications – Personnel identification
Reexamination Certificate
2005-03-25
2009-12-08
Carter, Aaron W (Department: 2624)
Image analysis
Applications
Personnel identification
C382S159000, C700S047000, C706S020000
Reexamination Certificate
active
07630525
ABSTRACT:
In an information processing apparatus, such as a robot that discriminates human faces, nodes are hierarchically arranged in a tree structure. Each of the nodes has a number of weak classifiers. Each terminal node learns face images associated with one label. An upper node learns learning samples of all labels learned by lower nodes. When a window image to be classified is input, discrimination is performed sequentially from upper nodes to lower nodes. When it is determined that the window image does not correspond to a human face, discrimination by lower nodes is not performed, and discrimination proceeds to sibling nodes.
REFERENCES:
patent: 6144755 (2000-11-01), Niyogi et al.
patent: 6345110 (2002-02-01), Niyogi et al.
patent: 6996171 (2006-02-01), Walker et al.
patent: 7050607 (2006-05-01), Li et al.
patent: 7203669 (2007-04-01), Lienhart et al.
patent: 2003/0108244 (2003-06-01), Li et al.
patent: 2003/0110147 (2003-06-01), Li et al.
Pavlovic et al., “Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks”, 2000, IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 34-41.
Garg et al., “Boosted Learning in Dynamic Bayesian Networks for Multimodal Speaker Detection”, Sep. 2003, Proceedings of the IEEE, vol. 91, Issue 9, pp. 1355-1369.
Li, S., Long, Z., Zhang, Z., Zhang, H.: “Learning to Detect Multi-View Faces in Real Time” Proc. 2NDIntl. Conf. on Development and Learning, Jun. 12, 2002, pp. 172-177, XP002366471 p. 172, col. 2, last paragraph—p. 173, col. 1, paragraph 1 p. 173, col. 2, last paragraph—p. 174, col. 1, paragraph 1 p. 174, section 2.3 figures 1,2.
Viola P. et al: “Rapid object detection using a boosted cascade of simple features” 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. vol. 1 of 2, Dec. 8, 2001, pp. 511-518, XP010583787 ISBN: 0-7695-1272-0 p. 512, section 2.1 p. 513, col. 2, paragraph 3 figure 3.
Chang Huang et al: “Omni-directional face detection based on real adaboost” Image Processing, 2004. ICIP '04. 2004 International Conference on Singapore Oct. 24-27, 2004, Piscataway, NJ, USA,IEEE, vol. 1, Oct. 24, 2004, pp. 593-596, XP010784887 ISBN: 0-7803-8554-3 p. 594; figure 2 p. 594, section 4.
Li S. Z. et al.: “FloatBoost Learning and Statistical Face Detection” IEEE Transactions on Pattern Analysis and Machineintelligence, IEEE Service Center, Los Alamitos, CA, US, vol. 26, No. 9, Sep. 1, 2004, pp. 1112-1123, XP011115611 ISSN: 0162-8828.
Hidai Ken-ichi
Sabe Kohtaro
Carter Aaron W
Emas Ellen Marcie
Frommer William S.
Frommer & Lawrence & Haug LLP
Sony Corporation
LandOfFree
Information processing apparatus and method, recording... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Information processing apparatus and method, recording..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information processing apparatus and method, recording... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4086880