METHOD AND APPARATUS TO GENERATE OBJECT DESCRIPTOR USING EXTENDED CURVATURE GABOR FILTER
First Claim
1. A method of generating an object descriptor, comprising:
- extracting, by a computer, gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes, to the object image; and
generating, by a computer, an object descriptor for object recognition by projecting the extracted features onto a predetermined base vector.
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Abstract
A method and apparatus to generate an object descriptor using extended curvature gabor filters. The method and apparatus may increase a recognition rate of even a relatively small image with use of an extended number of curvature gabor filters having controllable curvatures and may reduce the amount of calculation required for face recognition by performing the face recognition using only some of the extended curvature gabor filters which have a great effect on the recognition rate. The object descriptor generating method includes extracting gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes, to the object image, and generating an object descriptor for object recognition by projecting the extracted features onto a predetermined base vector.
8 Citations
19 Claims
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1. A method of generating an object descriptor, comprising:
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extracting, by a computer, gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes, to the object image; and generating, by a computer, an object descriptor for object recognition by projecting the extracted features onto a predetermined base vector. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of generating an object descriptor, comprising:
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extracting, by a computer, first gabor features from a training object image by applying curvature gabor filters to the training object image; selecting gabor features by performing boosting learning for object image classification with respect to the extracted gabor features and establishing a gabor feature set including the selected gabor features; generating, by a computer, a base vector by performing linear discriminant analysis of the established gabor feature set; extracting, by a computer, second gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes among the established gabor feature set, to the input object image; and generating, by a computer, an object descriptor for object recognition by projecting the extracted second gabor features onto the generated base vector. - View Dependent Claims (9, 10, 11, 12)
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13. An apparatus of generating an object descriptor, comprising:
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a first feature extractor to extract gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes, to the object image; and an object descriptor generator to generate an object descriptor for object recognition by projecting the extracted features onto a predetermined base vector. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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Specification