Face recognition using face tracker classifier data
First Claim
1. A method of in-camera face recognition training of a specific face within digital images acquired with a portable camera-enabled device, comprising:
- using a lens, image sensor and processor of a portable camera-enabled device to acquire digital images;
generating in the device, capturing or otherwise obtaining in the device multiple different images that include a face of a specific person;
identifying groups of pixels that correspond to the face within the multiple different images;
selecting sets of classifiers as matching the faces identified in the multiple different images;
statistically analyzing the sets of classifiers to generate a reference classifier profile of the face associated with the specific person;
repeating the generating, identifying, selecting and statistically analyzing one or more times to generate one or more further reference classifier profiles of the face associated with the specific person;
normalizing the reference classifier profiles to determine normalized face classifiers of an average face associated with the specific person;
generating a face recognition profile for the specific person based on the normalized face classifiers of the average face of the specific person; and
programming the processor such that when a probability exceeds a predetermined threshold that an identified face corresponds to the specific person associated with the face recognition profile, then the processor initiates a workflow, image processing or other pre- or post-image acquisition action on the portable camera-enabled device based on the recognition of the face as belonging to the specific person.
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Accused Products
Abstract
A method of determining face recognition profiles for a group persons includes determining with a multi-classifier face detector that a face region within a digital image has above a threshold probability of corresponding to a first person of the group, and recording probability scores which are analyzed for each classifier, including determining a mean and variance for each classifier for the first person. The process is repeated for one or more other persons of the group. A sub-set of classifiers is determined which best differentiates between the first person and the one or more other persons. The sub-set of classifiers is stored in association with the first person as a recognition profile.
83 Citations
27 Claims
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1. A method of in-camera face recognition training of a specific face within digital images acquired with a portable camera-enabled device, comprising:
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using a lens, image sensor and processor of a portable camera-enabled device to acquire digital images; generating in the device, capturing or otherwise obtaining in the device multiple different images that include a face of a specific person; identifying groups of pixels that correspond to the face within the multiple different images; selecting sets of classifiers as matching the faces identified in the multiple different images; statistically analyzing the sets of classifiers to generate a reference classifier profile of the face associated with the specific person; repeating the generating, identifying, selecting and statistically analyzing one or more times to generate one or more further reference classifier profiles of the face associated with the specific person; normalizing the reference classifier profiles to determine normalized face classifiers of an average face associated with the specific person; generating a face recognition profile for the specific person based on the normalized face classifiers of the average face of the specific person; and programming the processor such that when a probability exceeds a predetermined threshold that an identified face corresponds to the specific person associated with the face recognition profile, then the processor initiates a workflow, image processing or other pre- or post-image acquisition action on the portable camera-enabled device based on the recognition of the face as belonging to the specific person. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A portable camera-enabled device capable of in-camera face recognition and face recognition training of a specific face within acquired digital images, comprising:
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a lens and an image sensor to acquire digital images; a processor programmed by processor-readable code embedded within one or more digital storage media, wherein the processor-readable code comprises; a face detector component to program the processor to identify a groups of pixels that correspond to a face within the digital images; a face recognition training component to program the processor to generate a face recognition profile for a specific person determined by programming the processor to perform the following; selecting sets of classifiers as matching the faces identified in the multiple different images; statistically analyzing the sets of classifiers to generate a reference classifier profile of the face associated with the specific person; repeating the generating, identifying, selecting and statistically analyzing one or more times to generate one or more further reference classifier profiles of the face associated with the specific person; normalizing the reference classifier profiles to determine normalized face classifiers of an average face associated with the specific person; a face recognition component to determine when a probability exceeds a predetermined threshold that an identified face corresponds to the specific person associated with the face recognition profile, and to initiate a workflow, image processing or other pre- or post-image acquisition action on the portable camera-enabled device when the face belonging to the specific person is thereby recognized. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. One or more non-transitory processor-readable storage media having code embedded therein for programming a processor to perform a method of in-camera face recognition training of a specific face within digital images acquired with a portable camera-enabled device, wherein the method comprises:
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using a processor of a portable camera-enabled device;
generating in the device, capturing or otherwise obtaining in the device multiple different images that include a face of a specific person;identifying groups of pixels that correspond to the face within the multiple different images; selecting sets of classifiers as matching the faces identified in the multiple different images; statistically analyzing the sets of classifiers to generate a reference classifier profile of the face associated with the specific person; repeating the generating, identifying, selecting and statistically analyzing one or more times to generate one or more further reference classifier profiles of the face associated with the specific person; normalizing the reference classifier profiles to determine normalized face classifiers of an average face associated with the specific person; generating a face recognition profile for the specific person based on the normalized face classifiers of the average face of the specific person; and programming the processor such that when a probability exceeds a predetermined threshold that an identified face corresponds to the specific person associated with the face recognition profile, then the processor initiates a workflow, image processing or other pre- or post-image acquisition action on the portable camera-enabled device based on the recognition of the face as belonging to the specific person. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27)
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Specification