Method and component for image recognition
First Claim
1. A method for image recognition in a collection of digital images comprising:
- a) training a plurality of image classifiers, including;
(i) for each image in the collection, identifying any regions in the image corresponding to a face;
(ii) for each face region and any associated peripheral region, for each of a plurality of image classifiers, determining feature vectors; and
(iii) storing said feature vectors in association with data relating to the associated face region, and b) retrieving a sub-set of images from said collection, including;
(i) selecting from an image at least one reference region including a face to be recognised;
(ii) selecting from said plurality of image classifiers, at least one classifier on which said retrieval is to be based;
(iii) determining for said reference region, a respective feature vector for each selected classifier; and
(iv) retrieving said sub-set of images from within said image collection in accordance with the distance between the feature vectors determined for said reference region and the feature vectors for face regions of said image collection.
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Abstract
A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection.
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Citations
33 Claims
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1. A method for image recognition in a collection of digital images comprising:
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a) training a plurality of image classifiers, including;
(i) for each image in the collection, identifying any regions in the image corresponding to a face;
(ii) for each face region and any associated peripheral region, for each of a plurality of image classifiers, determining feature vectors; and
(iii) storing said feature vectors in association with data relating to the associated face region, and b) retrieving a sub-set of images from said collection, including;
(i) selecting from an image at least one reference region including a face to be recognised;
(ii) selecting from said plurality of image classifiers, at least one classifier on which said retrieval is to be based;
(iii) determining for said reference region, a respective feature vector for each selected classifier; and
(iv) retrieving said sub-set of images from within said image collection in accordance with the distance between the feature vectors determined for said reference region and the feature vectors for face regions of said image collection. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A component for image recognition in a collection of digital images comprising:
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a) training module for training a plurality of image classifiers, said module being arranged;
(i) for each image in the collection, to identify any regions in the image corresponding to a face;
(ii) for each face region and any associated peripheral region, for each of a plurality of image classifiers, to determine feature vectors; and
(iii) to store said feature vectors in association with data relating to the associated face region, and b) a retrieval module for retrieving a sub-set of images from said collection and arranged;
(i) to select from an image at least one reference region including a face to be recognised;
(ii) to select from said plurality of image classifiers, at least one classifier on which said retrieval is to be based;
(iii) to determine for said reference region, a respective feature vector for each selected classifier; and
(iv) to retrieve said sub-set of images from within said image collection in accordance with the distance between the feature vectors determined for said reference region and the feature vectors for face regions of said image collection. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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Specification