Face recognition using face tracker classifier data
AssigneeDigitalOptics Corporation Europe Limited
InventorsPetronel Bigioi, Peter Corcoran
Life of this patent
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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.
Claims27
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.
A portable camera-enabled device capable of in-camera face recognition and face recognition training of a specific face within acquired digital images, comprising:
- 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.
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:
- 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.
Dependencies are inferred from the claim text.