Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-12-11
2007-12-11
Le, Brian (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S160000, C382S224000, C382S225000, C382S226000
Reexamination Certificate
active
09966408
ABSTRACT:
A system and method for classifying facial image data, the method comprising the steps of: training a classifier device for recognizing one or more facial images and obtaining corresponding learned models the facial images used for training; inputting a vector including data representing a portion of an unknown facial image to be recognized into the classifier; classifying the portion of the unknown facial image according to a classification method; repeating inputting and classifying steps using a different portion of the unknown facial image at each iteration; and, identifying a single class result from the different portions input to the classifier.
REFERENCES:
patent: 6778705 (2004-08-01), Gutta et al.
Lorente et al., “Face Recognition of Video Sequences in a MPEG-7 Context Using a Global Eigen Approach,” IEEE 1999, pp. 187-191.
Gutta et al., “Mixture of Experts for Classification of Gender, Ethnic Origin, and Pose of Human Faces,” IEEE 2000, pp. 948-960.
Kiminori Sato et al., “Partial Face Recognition using Radial Basis Function Networks”, IEEE, pp. 288-293, 1998.
Colmenarez A.J., et al., “Maximum Likelihood Face Detection”, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, Oct. 14-16, 1996.
Gutta S., et al., “Mixture of Experts for Classification of Gender, Ethnic Origin, and Pose of Human Faces”, IEEE Transactions of Neural Networks, vol. 11, No. 4, Jul. 2000.
Bishop C.M., “Neural Networks for Pattern Recognition”, pp. 179-182, 1995.
Kittler J., et al., “Combining Classifiers”, Proceedings of the ICPR, vol. II, Track B, 1996.
Liu Z., et al., “Robust Head Motion Computation by Taking Advantage of Physical Properties”, IEEE Computer Society, Dec. 7-8, 2000, pp. 73-77.
Gutta Srinivas
Philomin Vasanth
Trajkovic Miroslav
Koninklijke Philips Elecyronics N.V.
Le Brian
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