System and method for performing classification through...

Image analysis – Pattern recognition – Classification

Reexamination Certificate

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C382S224000

Reexamination Certificate

active

08000538

ABSTRACT:
A system and method for image performing classification through generative models of features occurring in an image. Category-conditional probability distributions of features occurring in a plurality of training images are maintained. Each distribution is assigned to a category. The features occurring in an unclassified image are identified. Category-conditional likelihoods for the identified features are determined using the category-conditional probability distributions for each category. The unclassified image is assigned to one such category based upon the category-conditional likelihoods.

REFERENCES:
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Lienhart et al: “An extended set of Haar-like features for rapid object detection”, IEEE ICIP, pp. I-900-I-993, 2002.
Meng et al: “An image-based Bayesian framework for face detection”, IEEE, 2000.
P. Viola et al., “Rapid Object Detection Using a Boosted Cascade of Simple Features,” Proc. CVPR, pp. 511-518 (2001).
C. Shin et al., “Classification of Document Pages Using Structure-Based Features,” Int'l Journal of Document Analysis and Recognition, pp. 232-247 (2000).

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