Enabling persistent recognition of individuals in images
First Claim
Patent Images
1. A computer implemented method for enabling computer recognition of a particular person in images, comprising the steps of:
- analyzing one or more facial images of a person using a facial recognition model associated with the person to identify the person and to determine changes in facial appearance of the person;
calculating a subject recognition confidence value for the person responsive to the facial recognition model and the determined changes in facial appearance present in the one or more facial images, wherein the subject recognition confidence value is calculated from similarity score distributions, the similarity score distributions being probability distributions indicative of the probability of matching instances of the same person and the probability of matching instances of different persons;
comparing the calculated subject recognition confidence value for the person to prior subject recognition confidence values calculated using prior images of the person to identify changes in the subject recognition confidence values;
analyzing the identified changes in the subject recognition confidence values of determine whether a new facial recognition model for the person should be generated based on the determined changes in the facial appearance of the person;
generating the new facial recognition model from current of subsequent images of the person is it is so determined by the step of analyzing the identified changes; and
using the new facial recognition model for subsequent person recognition tasks.
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Abstract
A method and system for accumulating and using images of individuals, and associated image-derived data, on an continuous basis to create recognition models that facilitate ongoing recognition of individuals in images or photo collections.
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Citations
32 Claims
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1. A computer implemented method for enabling computer recognition of a particular person in images, comprising the steps of:
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analyzing one or more facial images of a person using a facial recognition model associated with the person to identify the person and to determine changes in facial appearance of the person; calculating a subject recognition confidence value for the person responsive to the facial recognition model and the determined changes in facial appearance present in the one or more facial images, wherein the subject recognition confidence value is calculated from similarity score distributions, the similarity score distributions being probability distributions indicative of the probability of matching instances of the same person and the probability of matching instances of different persons; comparing the calculated subject recognition confidence value for the person to prior subject recognition confidence values calculated using prior images of the person to identify changes in the subject recognition confidence values; analyzing the identified changes in the subject recognition confidence values of determine whether a new facial recognition model for the person should be generated based on the determined changes in the facial appearance of the person; generating the new facial recognition model from current of subsequent images of the person is it is so determined by the step of analyzing the identified changes; and using the new facial recognition model for subsequent person recognition tasks. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 27, 28)
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12. A computer implemented method for enabling computer recognition of a particular person in images, comprising the steps of:
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acquiring at least one digital facial image of the person using an image capture device; analyzing the at least one digital facial image of the person relative to a predetermined facial recognition model associated with the person to identify the person and to determine changes in facial appearance of the person; calculating a subject recognition confidence value for the person responsive to the facial recognition model and the determined changes in facial appearance present in the at least on facial image, wherein the subject recognition confidence value is calculated from similarity score distributions, the similarity score distributions being probability distributions indicative of the probability of matching instances of the same person and the probability of matching instances of different persons; comparing the calculated subject recognition confidence value for the person to prior subject recognition confidence values calculated using prior images of the person to identify changes in the subject recognition confidence values; analyzing the identified change in the subject recognition confidence values to determine whether a new facial recognition model for the person should be generated based on the determined changes in the facial appearance of the person; acquiring at least one additional facial image of the person using the image capture device; generating the new facial recognition model using at least the one additional facial image of the person; and using the new facial recognition model for subsequent person recognition tasks. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 29, 30, 31, 32)
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23. A non-transitory tangible computer readable storage medium storing executable instructions for causing a processor to perform a method for enabling computer recognition of a particular person in images, said method comprising:
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accessing a facial recognition model for a person and associated prior subject recognition confidence values calculated using prior images of the person from processor-accessible memory; analyzing one or more facial images of the person using the facial recognition model for the person to identify the person and to determine changes in facial appearance of the person; calculating a subject recognition confidence value for the person responsive to the facial recognition model and the determined changes in facial appearance present in the one or more facial images, wherein the subject recognition confidence value is calculated from similarity score distributions indicative of the probability of matching instances of the same person and the probability of match instances of different persons; comparing the calculated subject recognition confidence value for the person to the prior subject recognition confidence values to identify changes in the subject recognition confidence values; analyzing the identified changes in the subject recognition confidence values to determine whether a new facial recognition model for the person should be generated based on the identified changes in the appearance of the person; generating the new facial recognition model from current of subsequent images of the person if it is so determined by the step of analyzing the identified changes; and storing the new facial recognition model in the processor accessible memory for use with subsequent person recognition tasks.
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24. A system comprising:
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an image capture device for capturing facial images of a person; storing memory coupled to the image capture device for storing the captured facial images of the person. a previously generated facial recognition model for the person, and one or more prior subject recognition confidence values calculated using prior images of the person; means for calculating a subject recognition confidence values for the person responsive to the facial recognition model and the determined changes in the facial appearance present in the one or more captured facial images, wherein the subject recognition confidence value is calculated from similarity score distributions, the similarity score distributions being probability distributions indicative of the probability of matching instances of the same person and the probability of matching instances of different persons; means for comparing the calculated subject recognition confidence value to the prior subject recognition confidence values to identify changes in the subject recognition confidence values and to determine whether a new facial recognition model for the person should be generated based on the determined changes in the facial appearance of the person; and means for generating a new facial recognition model using current or subsequent images of the person if a need is so determined by the comparison means.
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25. A computer implemented method for enabling computer recognition of a person in images, the person being a member of a household including a plurality of persons, comprising the steps of:
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generating facial recognition models for two or more persons in the household; generating at least one pair-wise facial classifier for at least one pair of persons in the household, the pair-wise facial classifier using at least one facial feature that discriminates appearance differences for the pair of persons; analyzing one or more facial images of the person using the facial recognition models and the pair-wise facial classifier to identify the person; and
further to identify changes facial appearance attributes present in the one or more facial images;calculating a subject recognition confidence value for the person responsive to the facial recognition model and the identified changes in the facial appearance attributes of the person in the one or more facial images; comparing the calculated subject recognition confidence value for the person to prior subject recognition confidence values calculated using prior images of the person to identify changes in the subject recognition confidence values associated with either individual; analyzing the identified changes in the subject recognition confidence values to determine whether a new facial recognition model for the person should be generated based on the identified changes in the facial appearance attributes of the person; generating the new facial recognition model from current or subsequent images of the person if it is so determined by the step of analyzing the identified changes; and using the new facial recognition model for subsequent person recognition tasks. - View Dependent Claims (26)
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Specification