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, an image sensor and processor of a portable camera-enabled device to acquire digital images;
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;
tracking the face within the multiple different images, wherein the tracking is performed in parallel with determining whether the identified face corresponds to the specific person;
selecting sets of classifiers as matching the faces identified in the multiple different images;
statistically analyzing the sets of classifiers to generate one or more reference classifier profiles of the face associated with the specific person, wherein the statistically analyzing comprises determining variance values for the sets of classifiers;
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 that an identified face corresponds to the specific person associated with the face recognition profile exceeds a predetermined threshold, 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;
wherein the method is performed by one or more computing device.
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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.
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Citations
25 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, an image sensor and processor of a portable camera-enabled device to acquire digital images; 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; tracking the face within the multiple different images, wherein the tracking is performed in parallel with determining whether the identified face corresponds to the specific person; selecting sets of classifiers as matching the faces identified in the multiple different images; statistically analyzing the sets of classifiers to generate one or more reference classifier profiles of the face associated with the specific person, wherein the statistically analyzing comprises determining variance values for the sets of classifiers; 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 that an identified face corresponds to the specific person associated with the face recognition profile exceeds a predetermined threshold, 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; wherein the method is performed by one or more computing device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. 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 groups of pixels that correspond to a face within the digital images; a face tracking component to program the processor to track the face within the multiple different images, wherein the tracking is performed in parallel with determining whether the identified face corresponds to a specific person; a face recognition training component to program the processor to generate a face recognition profile for the 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 one or more reference classifier profiles of the face associated with the specific person, wherein the statistically analyzing comprises determining variance values for the sets of classifiers; normalizing the reference classifier profiles to determine normalized face classifiers of an average face associated with the specific person; generating the 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 that an identified face corresponds to the specific person associated with the face recognition profile exceeds a predetermined threshold, 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 (10, 11, 12, 13, 14, 15, 16)
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17. 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 to acquire digital images; 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; tracking the face within the multiple different images, wherein the tracking is performed in parallel with determining whether the identified face corresponds to the specific person; selecting sets of classifiers as matching the faces identified in the multiple different images; statistically analyzing the sets of classifiers to generate one or more reference classifier profiles of the face associated with the specific person, wherein the statistically analyzing comprises determining variance values for the sets of classifiers; 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 that an identified face corresponds to the specific person associated with the face recognition profile exceeds a predetermined threshold, 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 (18, 19, 20, 21, 22, 23, 24, 25)
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Specification