Image analysis – Applications – Personnel identification
Reexamination Certificate
2003-07-18
2008-11-04
Bella, Matthew C. (Department: 2624)
Image analysis
Applications
Personnel identification
C382S159000, C382S224000
Reexamination Certificate
active
07447338
ABSTRACT:
A system and method for detecting a face using a pattern classifier learning face images and near face images are provided. The system includes a basis vector extractor, which receives a plurality of face images and a plurality of near-face images and extracts a plurality of face basis vectors expressing the face images and a plurality of near-face basis vectors expressing the near-face images; a feature vector extractor, which extracts face feature vectors and near-face feature vectors by projecting the face images and the near-face images upon the face and near-face feature vectors and projects an image, which is input for face detection, upon the basis vectors to extract the feature vector of the input image; a clustering unit, which classifies the face feature vectors and the near-face feature vectors into predetermined sub-classes and outputs a sub-class number of a sub-class including the feature vector of the input image among the sub-classes; a pattern classifier trainer, which trains each pattern classifier corresponding to a certain sub-class using face feature vectors and near-face feature vectors, which are included in the sub-class; and a face determiner, which applies the feature vector of the input image to the pattern classifier corresponding to the sub-class including the feature vector of the input image and determines whether the input image is a face image using the pattern classifier.
REFERENCES:
patent: 6944319 (2005-09-01), Huang et al.
Sung et al., Example-Based Learning for View-Based Human Face Detection, 1998, IEEE, pp. 39-51.
G.A. Mota et al., “Face Detector Combining Eigenfaces, Neural Network and Bootstrap”, Sixth Brazilian Symposium on Neural Networks, vol. 1, Nov. 22, 2000, pp. 290.
S. Gong et al., “Dynamic Vision: from Images to Face Recognition”, Imperial College Press, London, Great Britain, 2000, pp. 81-102, 176, and 297-298.
Marian S. Bartlett, “Face Image Analysis by Unsupervised Learning”, Kluwer, Norwell, MA, 2001, pp. 117-119, 47-48, and VII-IX.
Yuan Qi et al., “Hybrid Independent Component Analysis and Support Vector Machine Learning Scheme for Face Detection”, IEEE International Conference on Acoustics, Speech, and Signal Processing, May 7, 2001, vol. 3 of 6, New York, NY, pp. 1481-1484.
Sergios Theodoridis et al., “Pattern Recognition”, Academic Press, 1999, San Diego, CA, pp. 351-354.
Lingmin Meng et al., “Two Subspace Methods to Discriminate Faces and Clutters”, 7thIEEE International Conference on Image Processing, vol. 100, Sep. 10, 2000, pp. 215-218.
R. K. Singh et al., “Background Learning for Robust Face Recognition”, IEEE Comput. Soc., vol. 3, Aug. 11, 2002, pp. 525-528.
Baback Moghadden et al., “Probabilistic Visual Learning for Object Representation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, No. 7, pp. 696-710, 1997.
European Patent Office Search Report, 2005.
Bella Matthew C.
Buchanan & Ingersoll & Rooney PC
Samsung Electronics Co,. Ltd.
Strege John B
LandOfFree
Method and system for face detection using pattern classifier 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 system for face detection using pattern classifier, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for face detection using pattern classifier will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4030487