Adaptive learning and matching of face modalities
AssigneeRealNetworks, Inc.
InventorMilko Boic
Life of this patent
Estimating the term…
Abstract
Technologies are provided herein for adaptively learning and matching modalities of face images. A face image is obtained and a biometric signature is generated of the face image. The biometric signature is compared with a stored biometric signature obtained from data storage. Differences are determined between the biometric signature and the stored biometric signature and compared with a proximity threshold. As a result of the comparison with the proximity threshold, the identity of the person in the face image may be determined or the face image may be stored in data storage in association with the identity of the person.
Claims17
A computer-implemented method, comprising:
- identifying, at a first time, a person in an image based on information associated with an identity stored in data storage;
- obtaining, at a second time after the first time, a first face image of the person;
- retrieving, from data storage, a first biometric signature corresponding to the identity;
- generating a second biometric signature of the first face image;
- calculating a differential between the first biometric signature and the second biometric signature;
- comparing the differential to a defined proximity threshold for appearance modalities;
- obtaining, at a third time after the first time, a second face image of the person;
- generating a third biometric signature of the second face image;
- determining an image differential based on a comparison of the second biometric signature and the third biometric signature;
- and
- as a result of the differential exceeding the defined proximity threshold and as a result of the image differential being less than an image consistency threshold, storing the second biometric signature in the data storage in association with the identity.
A system, comprising:
- at least one processor;
- and
- at least one non-transitory storage medium storing a set of instructions that, as a result of execution by the one or more processors, cause the system to:
- identify, at a first time, a person in an image based on information associated with an identity stored in data storage;
- obtain, from a camera at a second time after the first time, a first face image of the person;
- retrieve, from data storage, a first biometric signature corresponding to the identity;
- generate a second biometric signature of the first face image;
- calculate a differential between the first biometric signature and the second biometric signature;
- compare the differential to a defined proximity threshold for appearance modalities;
- obtaining, at a third time after the first time, a second face image of the person;
- generating a third biometric signature of the second face image;
- determining an image differential based on a comparison of the second biometric signature and the third biometric signature;
- and
- as a result of the differential exceeding the defined proximity threshold and as a result of the image differential being less than an image consistency threshold, store the second biometric signature in the data storage in association with the identity.
A non-transitory computer-readable medium storing instructions that, as a result of execution by at least one processor, cause the at least one processor to:
- identify, at a first time, a person in an image based on information associated with an identity stored in data storage;
- obtain, at a second time after the first time, a first face image of the person;
- retrieve, from data storage, a first biometric signature corresponding to the identity;
- generate a second biometric signature of the first face image;
- calculate a differential between the first biometric signature and the second biometric signature;
- compare the differential to a defined proximity threshold for appearance modalities;
- obtain, at a third time after the first time, a second face image of the person;
- generate a third biometric signature of the second face image;
- determine an image differential based on a comparison of the second biometric signature and the third biometric signature;
- and
- as a result of the differential exceeding the defined proximity threshold and as a result of the image differential being less than an image consistency threshold, store the second biometric signature in the data storage in association with the identity.
Dependencies are inferred from the claim text.