FACE DETECTION, REPRESENTATION, AND RECOGNITION
First Claim
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;
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; and
responsive to determining the quantity of the one or more existing templates is not less than a pre-defined maximum quantity, updating, by the one or more computer processors, a first template of the one or more existing templates, wherein the first template most closely matches the normalized image.
2 Assignments
0 Petitions
Accused Products
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.
-
Citations
20 Claims
-
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; 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; and responsive to determining the quantity of the one or more existing templates is not less than a pre-defined maximum quantity, updating, by the one or more computer processors, a first template of the one or more existing templates, wherein the first template most closely matches the normalized image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A computer program product for face recognition in an image, the computer program product comprising:
-
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; 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; and responsive to determining the quantity of the one or more existing templates is not less than a pre-defined maximum quantity, program instructions to update a first template of the one or more existing templates, wherein the first template most closely matches the normalized image. - View Dependent Claims (10, 11, 12, 13, 14)
-
-
15. A computer system for face recognition in an image, the computer system comprising:
-
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; 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; and responsive to determining the quantity of the one or more existing templates is not less than a pre-defined maximum quantity, program instructions to update a first template of the one or more existing templates, wherein the first template most closely matches the normalized image. - View Dependent Claims (16, 17, 18, 19, 20)
-
Specification