Face detection, representation, and recognition
First Claim
Patent Images
1. A method for face recognition in an image, the method comprising:
- receiving, by one or more computer processors, an image that includes at least one face and one or more face parts;
normalizing, by the one or more computer processors, the received image;
comparing, by the one or more computer processors, the normalized image to one or more existing templates of facial features in a first a face descriptor of a plurality of face descriptors;
determining, by the one or more computer processors, whether a minimum distance between the normalized image and the one or more existing templates exceeds a threshold;
responsive to determining the minimum distance between the normalized image and the one or more existing templates exceeds a threshold, determining, by the one or more computer processors, whether a quantity of the one or more existing templates is less than a pre-defined maximum quantity;
responsive to determining the quantity of the one or more existing templates is less than a pre-defined maximum quantity, creating, by the one or more computer processors, a new template from the normalized image, wherein the new template is appended to the one or more existing templates in the first face descriptor;
detecting, by the one or more computer processors, the one or more face parts in the image with a face component model;
clustering, by the one or more computer processors, the detected one or more face parts with one or more stored images;
extracting, by the one or more computer processors, from the clustered images, one or more face descriptors of the plurality of face descriptors; and
determining, by the one or more computer processors, a recognition score of the at least one face, based, at least in part, on the extracted one or more face descriptors.
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Abstract
In an approach to face recognition in an image, one or more computer processors receive an image that includes at least one face and one or more face parts. The one or more computer processors detect the one or more face parts in the image with a face component model. The one or more computer processors cluster the detected one or more face parts with one or more stored images. The one or more computer processors extract, from the clustered images, one or more face descriptors. The one or more computer processors determine a recognition score of the at least one face, based, at least in part, on the extracted one or more face descriptors.
27 Citations
17 Claims
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1. A method for face recognition in an image, the method comprising:
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receiving, by one or more computer processors, an image that includes at least one face and one or more face parts; normalizing, by the one or more computer processors, the received image; comparing, by the one or more computer processors, the normalized image to one or more existing templates of facial features in a first a face descriptor of a plurality of face descriptors; determining, by the one or more computer processors, whether a minimum distance between the normalized image and the one or more existing templates exceeds a threshold; responsive to determining the minimum distance between the normalized image and the one or more existing templates exceeds a threshold, determining, by the one or more computer processors, whether a quantity of the one or more existing templates is less than a pre-defined maximum quantity; responsive to determining the quantity of the one or more existing templates is less than a pre-defined maximum quantity, creating, by the one or more computer processors, a new template from the normalized image, wherein the new template is appended to the one or more existing templates in the first face descriptor; detecting, by the one or more computer processors, the one or more face parts in the image with a face component model; clustering, by the one or more computer processors, the detected one or more face parts with one or more stored images; extracting, by the one or more computer processors, from the clustered images, one or more face descriptors of the plurality of face descriptors; and determining, by the one or more computer processors, a recognition score of the at least one face, based, at least in part, on the extracted one or more face descriptors. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer program product for face recognition in an image, the computer program product comprising:
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one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the stored program instructions comprising; program instructions to receive an image that includes at least one face and one or more face parts; program instructions to normalize the received image; program instructions to compare the normalized image to one or more existing templates of facial features in a first a face descriptor of a plurality of face descriptors; program instructions to determine whether a minimum distance between the normalized image and the one or more existing templates exceeds a threshold; responsive to determining the minimum distance between the normalized image and the one or more existing templates exceeds a threshold, program instructions to determine whether a quantity of the one or more existing templates is less than a pre-defined maximum quantity; responsive to determining the quantity of the one or more existing templates is less than a pre-defined maximum quantity, program instructions to create a new template from the normalized image, wherein the new template is appended to the one or more existing templates in the first face descriptor; program instructions to detect the one or more face parts in the image with a face component model; program instructions to cluster the detected one or more face parts with one or more stored images; program instructions to extract, from the clustered images, one or more face descriptors of the plurality of face descriptors; and program instructions to determine a recognition score of the at least one face, based, at least in part, on the extracted one or more face descriptors. - View Dependent Claims (9, 10, 11, 12)
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13. A computer system for face recognition in an image, the computer system comprising:
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one or more computer processors; one or more computer readable storage devices; program instructions stored on the one or more computer readable storage devices for execution by at least one of the one or more computer processors, the stored program instructions comprising; program instructions to receive an image that includes at least one face and one or more face parts; program instructions to normalize the received image; program instructions to compare the normalized image to one or more existing templates of facial features in a first a face descriptor of a plurality of face descriptors; program instructions to determine whether a minimum distance between the normalized image and the one or more existing templates exceeds a threshold; responsive to determining the minimum distance between the normalized image and the one or more existing templates exceeds a threshold, program instructions to determine whether a quantity of the one or more existing templates is less than a pre-defined maximum quantity; responsive to determining the quantity of the one or more existing templates is less than a pre-defined maximum quantity, program instructions to create a new template from the normalized image, wherein the new template is appended to the one or more existing templates in the first face descriptor; program instructions to detect the one or more face parts in the image with a face component model; program instructions to cluster the detected one or more face parts with one or more stored images; program instructions to extract, from the clustered images, one or more face descriptors of the plurality of face descriptors; and program instructions to determine a recognition score of the at least one face, based, at least in part, on the extracted one or more face descriptors. - View Dependent Claims (14, 15, 16, 17)
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Specification