Identity recognition utilizing face-associated body characteristics

US12469323B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12469323-B2
Application numberUS-202217951918-A
CountryUS
Kind codeB2
Filing dateSep 23, 2022
Priority dateMay 14, 2021
Publication dateNov 11, 2025
Grant dateNov 11, 2025

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Techniques are disclosed for determining whether to include a bodyprint in a cluster of bodyprints associated with a recognized person. For example, a device performs facial recognition to identify the identity of a first person. The device also identifies and stores physical characteristic information of the first person, the stored information associated with the identity of the first person based on the recognized face. Subsequently, the device receives a second video feed showing an image of a second person whose face is also determined to be recognized by the device. The device then generates a quality score for physical characteristics in the image of the user. The device can then add the image with the physical characteristics to a cluster of images associated with the person if the quality score is above a threshold, or discard the image if not.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method, comprising: maintaining, by a computing device, a plurality of images associated with a person; receiving, by the computing device, a new image; determining, by the computing device, whether the new image includes a face of the person; and in accordance with the new image including the face of the person: generating, by the computing device, a score associated with the new image, wherein the score comprises a quality score; determining, by the computing device, whether the score is above a threshold; in accordance with a determination that the score is above the threshold, adding the new image to the plurality of images; and in accordance with a determination that the score is not above the threshold, discarding the new image. 2 . The method of claim 1 , wherein the plurality of images comprises a first physical characteristic associated with the person, and further comprising: in accordance with the new image not including the face of the person and not being identifiable based at least in part on having the quality score below the threshold: comparing, by the computing device, a second physical characteristic identified in the new image with the first physical characteristic associated with the person; determining, by the computing device, whether the second physical characteristic identified in the new image corresponds to the first physical characteristic associated with the person; and identifying the person in accordance with the second physical characteristic identified in the new image corresponding to the first physical characteristic associated with the person. 3 . The method of claim 1 , further comprising providing, by the computing device, a notification that the person was identified. 4 . The method of claim 1 , wherein the computing device comprises a resident device in a home environment, wherein the resident device is configured to be relatively stationary within the home environment. 5 . The method of claim 1 , wherein the quality score identifies a relative quality of the new image with respect to other images. 6 . The method of claim 1 , wherein the quality score is determined based at least in part on at least one of an amount of saturation, an amount of contrast, an amount of brightness, or an amount of sharpness. 7 . The method of claim 1 , wherein the plurality of images comprises a collection of bodyprints associated with the person. 8 . The method of claim 7 , wherein a bodyprint of the collection of bodyprints is generated based at least in part on a torso of the person. 9 . The method according to claim 1 , wherein the score identifies a level of similarity between the new image and one or more of the plurality of images associated with the person. 10 . A computing device, comprising: a memory comprising computer-executable instructions; and one or more processors in communication with the memory and configured to access the memory and execute the computer-executable instructions to at least: maintain a plurality of images associated with a person; receive a new image; determine whether the new image includes a face of the person; and in accordance with the new image including the face of the person: generate a score associated with the new image, wherein the score comprises a quality score; determine whether the score is above a threshold; in accordance with a determination that the score is above the threshold, add the new image to the plurality of images; and in accordance with a determination that the score is not above the threshold, discard the new image. 11 . The computing device of claim 10 , wherein the plurality of images comprises a first physical characteristic associated with the person, and wherein the one or more processors are further configured to execute the computer-executable instructions to at least: in accordance with the new image not including the face of the person and not being identifiable based at least in part on having the quality score below the threshold: compare a second physical characteristic identified in the new image with the first physical characteristic associated with the person; determine whether the second physical characteristic identified in the new image corresponds to the first physical characteristic associated with the person; and identify the person in accordance with the second physical characteristic identified in the new image corresponding to the first physical characteristic associated with the person. 12 . The computing device of claim 10 , wherein the computing device comprises a resident device in a home environment, wherein the resident device is configured to be relatively stationary within the home environment. 13 . The computing device of claim 10 , wherein at least one of a) the quality score identifies a relative quality of the new image with respect to other images or b) the quality score is determined based at least in part on at least one of an amount of saturation, an amount of contrast, an amount of brightness, or an amount of sharpness. 14 . The computing device of claim 10 , wherein the plurality of images comprises a collection of bodyprints associated with the person, and wherein a bodyprint of the collection of bodyprints is generated based at least in part on a torso of the person. 15 . One or more non-transitory computer-readable storage media comprising computer-executable instructions that, when executed by one or more processors of a computing device, cause the one or more processors to perform operations comprising: maintaining, by the computing device, a plurality of images associated with a person; receiving, by the computing device, a new image; determining, by the computing device, whether the new image includes a face of the person; and in accordance with the new image including the face of the person: generating, by the computing device, a score associated with the new image, wherein the score comprises a quality score; determining, by the computing device, whether the score is above a threshold; in accordance with a determination that the score is above the threshold, adding the new image to the plurality of images; and in accordance with a determination that the score is not above the threshold, discarding the new image. 16 . The one or more non-transitory computer-readable storage media of claim 15 , wherein the plurality of images comprises a first physical characteristic associated with the person, and wherein the operations further comprise: in accordance with the new image not including the face of the person and not being identifiable based at least in part on having the quality score below the threshold: comparing, by the computing device, a second physical characteristic identified in the new image with the first physical characteristic associated with the person; determining, by the computing device, whether the second physical characteristic identified in the new image corresponds to the first physical characteristic associated with the person; and identifying the person in accordance with the second physical characteristic identified in the new image corresponding to the first physical characteristic associated with the person. 17 . The one or more non-transitory computer-readable storage media of claim 15 , wherein the computing device comprises a resident device in a home environment, wherein the resident device is configured to be relatively stationary within the home environment. 18 . The one or more no

Assignees

Inventors

Classifications

  • Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching · CPC title

  • Face · CPC title

  • Image quality inspection · CPC title

  • Video; Image sequence · CPC title

  • Inspection of images, e.g. flaw detection · CPC title

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Frequently asked questions

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What does patent US12469323B2 cover?
Techniques are disclosed for determining whether to include a bodyprint in a cluster of bodyprints associated with a recognized person. For example, a device performs facial recognition to identify the identity of a first person. The device also identifies and stores physical characteristic information of the first person, the stored information associated with the identity of the first person …
Who is the assignee on this patent?
Apple Inc
What technology area does this patent fall under?
Primary CPC classification G06V40/172. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 11 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).