LEARNING DEVICE AND METHOD, RECOGNITION DEVICE AND METHOD, AND PROGRAM
First Claim
1. A learning device comprising:
- generating means configured to generate an image having different resolution from an input image;
extracting means configured to extract a feature point serving as a processing object from an image generated by the generating means;
calculating means configured to calculate the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and
identifier generating means configured to generate an identifier for detecting a predetermined target object from the image by statistical learning employing the feature amount;
wherein the filter includes a plurality of regions, and the calculating means take the difference value of difference within the regions as the feature amount.
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Abstract
A learning device includes: a generating unit configured to generate an image having different resolution from an input image; an extracting unit configured to extract a feature point serving as a processing object from an image generated by the generating unit; a calculating unit configured to calculate the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and an identifier generating unit configured to generate an identifier for detecting a predetermined target object from the image by statistical learning employing the feature amount; with the filter including a plurality of regions, and the calculating unit taking the difference value of difference within the regions as the feature amount.
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Citations
22 Claims
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1. A learning device comprising:
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generating means configured to generate an image having different resolution from an input image; extracting means configured to extract a feature point serving as a processing object from an image generated by the generating means; calculating means configured to calculate the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and identifier generating means configured to generate an identifier for detecting a predetermined target object from the image by statistical learning employing the feature amount; wherein the filter includes a plurality of regions, and the calculating means take the difference value of difference within the regions as the feature amount. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A learning method comprising the steps of:
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generating an image having different resolution from an input image; extracting a feature point from the generated image; calculating the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and generating an identifier for detecting a predetermined target object from the image by statistical learning employing the feature amount; wherein the filter includes a plurality of regions, and the difference value of the difference within the regions thereof is taken as the feature amount.
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10. A computer-readable program causing a computer to execute processing comprising the steps of:
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generating an image having different resolution from an input image; extracting a feature point from the generated image; calculating the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and generating an identifier for detecting a predetermined target object from the image by statistical learning employing the feature amount; wherein the filter includes a plurality of regions, and the difference value of the difference within the regions thereof is taken as the feature amount.
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11. A recognition device comprising:
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generating means configured to generate an image having different resolution from an input image; extracting means configured to extract a feature point from an image generated by the generating means; calculating means configured to calculate the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and detecting means configured to substitute the feature amount for an identifier for detecting a predetermined target object from an image, obtained by statistical learning, to detect the target object from the input image; wherein the filter includes a plurality of regions, and the calculating means take the difference value of difference within the regions as the feature amount. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A recognition method comprising the steps of:
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generating an image having a different scale coefficient from an input image; extracting a feature point from the generated image; calculating the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and substituting the feature amount for an identifier for detecting a predetermined target object from an image, obtained by statistical learning, to detect the target object from the input image; wherein the filter includes a plurality of regions, and the difference value of difference within the regions is taken as the feature amount.
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20. A computer-readable program causing a computer to execute processing comprising the steps of:
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generating an image having a different scale coefficient from an input image; extracting a feature point from the generated image; calculating the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and substituting the feature amount for an identifier for detecting a predetermined target object from an image, obtained by statistical learning, to detect the target object from the input image; wherein the filter includes a plurality of regions, and the difference value of difference within the regions is taken as the feature amount.
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21. A learning device comprising:
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a generating unit configured to generate an image having different resolution from an input image; an extracting unit configured to extract a feature point serving as a processing object from an image generated by the generating unit; a calculating unit configured to calculate the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and an identifier generating unit configured to generate an identifier for detecting a predetermined target object from the image by statistical learning employing the feature amount; wherein the filter includes a plurality of regions, and the calculating unit take the difference value of difference within the regions as the feature amount.
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22. A recognition device comprising:
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a generating unit configured to generate an image having different resolution from an input image; an extracting unit configured to extract a feature point from an image generated by the generating unit; a calculating unit configured to calculate the feature amount of the feature point by subjecting the feature point to filter processing employing a predetermined filter; and a detecting unit configured to substitute the feature amount for an identifier for detecting a predetermined target object from an image, obtained by statistical learning, to detect the target object from the input image; wherein the filter includes a plurality of regions, and the calculating unit takes the difference value of difference within the regions as the feature amount.
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Specification