Object recognition system
First Claim
1. A method for recognizing an object in an image, comprising:
- providing a plurality of gallery images, each gallery image including an identified object;
pairing each gallery image with a probe image of an unidentified object to generate a plurality of pairs of images;
applying a first set of filters to the probe image of each pair to obtain a first feature value for each application of each filter, and applying a second set of filters to the each gallery image of each pair to obtain a second feature value for each application of each filter;
summing, for each application of each filter, the first and second feature values;
setting, for each application, a score to an acceptance weight if the sum is greater than a predetermined threshold, and otherwise setting the score to a rejection weight;
summing the scores for all of the application; and
identifying the probe image with any gallery image when the score is greater than zero.
1 Assignment
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Accused Products
Abstract
A method recognizes an object in an image. Gallery images include identified objects, and a probe image includes an unidentified object. The probe image is paired with each gallery image to generate pairs of images. First filters are applied to the probe image of each pair to obtain a first feature value for each application of each filter. Second filters are applied to the each gallery image of each pair to obtain a second feature value for each application of each filter. The feature values are summed for each application of each filter, and for each application, a score is set to an acceptance weight if the sum is greater than a predetermined threshold, and otherwise setting the score to a rejection weight. The scores are summed for all of the application, and the probe image is identified with any gallery image when the score is greater than zero.
66 Citations
9 Claims
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1. A method for recognizing an object in an image, comprising:
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providing a plurality of gallery images, each gallery image including an identified object;
pairing each gallery image with a probe image of an unidentified object to generate a plurality of pairs of images;
applying a first set of filters to the probe image of each pair to obtain a first feature value for each application of each filter, and applying a second set of filters to the each gallery image of each pair to obtain a second feature value for each application of each filter;
summing, for each application of each filter, the first and second feature values;
setting, for each application, a score to an acceptance weight if the sum is greater than a predetermined threshold, and otherwise setting the score to a rejection weight;
summing the scores for all of the application; and
identifying the probe image with any gallery image when the score is greater than zero. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for recognizing an object in an image, comprising:
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a plurality of gallery images, each gallery image including an identified object;
a probe image of an unidentified object, the probe image to be paired with each gallery image to generate a plurality of pairs of images;
means for applying a first set of filters to the probe image of each pair to obtain a first feature value for each application of each filter;
means for applying a second set of filters to the each gallery image of each pair to obtain a second feature value for each application of each filter;
means for summing, for each application of each filter, the first and second feature values;
means for setting, for each application, a score to an acceptance weight if the sum is greater than a predetermined threshold, and otherwise setting the score to a rejection weight;
means for summing the scores for all of the application; and
means for identifying the probe image with any gallery image when the score is greater than zero.
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Specification