Method of object recognition, apparatus of the same and...

Image analysis – Learning systems – Trainable classifiers or pattern recognizers

Reexamination Certificate

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C382S190000, C382S224000

Reexamination Certificate

active

07120292

ABSTRACT:
According to a disclosed method, an image is learned beforehand, and an image of an object to be recognized is entered, then this object is recognized. An image including an object to be learned is entered, and it is divided into partial images. Further classifying into plural classes, a matrix for feature extraction is calculated in each class. A feature is calculated by using this matrix for feature extraction, and stored. Consequently, an image including an object to be recognized is entered, and it is divided into partial images. From the partial images, the feature of the object of recognition is calculated by using the obtained matrix for feature extraction, and the similarity measure of the both is calculated by using the data of the stored feature and the feature of the object of recognition, and the object is recognized.

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patent: 5901244 (1999-05-01), Souma et al.
patent: 06-266828 (1994-09-01), None
patent: 08-271223 (1996-10-01), None
patent: 09-053915 (1997-02-01), None
“Visual Learning and Recognition of 3-D Objects From Appearance”, Hiroshi Murase et al., International Journal of Computer Vision, 14, pp. 5-24, (1995).
“The Use of Multiple Measurements In Taxonomic Problems”, R.A. Fisher, Ann. Eugenics, vol. 7, Part II, (1936), pp. 179-188.

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