Creation of representative content based on facial analysis

US10311284B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10311284-B2
Application numberUS-201715497423-A
CountryUS
Kind codeB2
Filing dateApr 26, 2017
Priority dateApr 28, 2014
Publication dateJun 4, 2019
Grant dateJun 4, 2019

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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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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutral. An overall quality score for the face may also be determined and provided based on the aforementioned analysis as well as whether or not the face is near an edge of the image or cut-off in the image. Finally, a face signature may be determined that uniquely identifies the face, at least within the scope of the analyzed features. Such face signatures may be used to detect a similar face in other images.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method performed on a computing device, the method comprising: assigning a face identifier to a first face detected in a first image, the first face belonging to a person; generating, by the computing device, a set of facial feature descriptors based on an analysis of the first face detected in the first image and on the face identifier of the first face, each of the facial feature descriptors corresponding to an analyzed physical feature of the first face detected in the first image; and generating, by the computing device and based on the set of facial feature descriptors, a face signature that uniquely identifies a second face detected in a second image as belonging to the same person. 2. The method of claim 1 further comprising: generating, by the computing device and based on the set of facial feature descriptors, a quality score of the first face. 3. The method of claim 2 where the quality score is determined based partially on the location of the first face within the first image. 4. The method of claim 2 where the quality score is based partially on the amount of the first face in the first image. 5. The method of claim 1 further comprising: generating, by the computing device and based on the set of facial feature descriptors, an expression of the first face. 6. The method of claim 1 further comprising: generating, by the computing device and based on the set of facial feature descriptors, a pose of the first face. 7. A computing device comprising: a processor; memory coupled to the processor; a program module that is stored in the memory and that, based on execution by the processor, configures the computing device to perform actions comprising: assigning a face identifier to a first face detected in a first image, the first face belonging to a person; generating, by the computing device, a set of facial feature descriptors based on an analysis of the first face detected in the first image and on the face identifier of the first face, each of the facial feature descriptors corresponding to an analyzed physical feature of the first face detected in the first image; and generating, by the computing device and based on the set of facial feature descriptors, a face signature that uniquely identifies a second face detected in a second image as belonging to the same person. 8. The computing device of claim 7 , the actions further comprising: generating, by the computing device and based on the set of facial feature descriptors, a quality score of the first face. 9. The computing device of claim 8 where the quality score is determined based partially on the location of the first face within the first image. 10. The computing device of claim 8 where the quality score is based partially on the amount of the first face in the first image. 11. The computing device of claim 7 , the actions further comprising: generating, by the computing device and based on the set of facial feature descriptors, an expression of the first face. 12. The computing device of claim 7 , the actions further comprising: generating, by the computing device and based on the set of facial feature descriptors, a pose of the first face. 13. At least one computer-readable media storing computer-executable instructions that, when executed by a computing device, cause the computing device to perform actions comprising: assigning a face identifier to a first face detected in a first image, the first face belonging to a person; generating, by the computing device, a set of facial feature descriptors based on an analysis of the first face detected in the first image and on the face identifier of the first face, each of the facial feature descriptors corresponding to an analyzed physical feature of the first face detected in the first image; and generating, by the computing device and based on the set of facial feature descriptors, a face signature that uniquely identifies a second face detected in a second image as belonging to the same person. 14. The at least one computer-readable media of claim 13 , the actions further comprising: generating, by the computing device and based on the set of facial feature descriptors, a quality score of the detected face. 15. The at least one computer-readable media of claim 14 where the quality score is determined based partially on the location of the first face within the first image. 16. The at least one computer-readable media of claim 14 where the quality score is based partially on the amount of the first face in the first image. 17. The at least one computer-readable media of claim 13 , the actions further comprising: generating, by the computing device and based on the set of facial feature descriptors, an expression of the first face. 18. The at least one computer-readable media of claim 13 , the actions further comprising: generating, by the computing device and based on the set of facial feature descriptors, a pose of the first face.

Assignees

Inventors

Classifications

  • Feature extraction; Face representation · CPC title

  • G06V40/16Primary

    Human faces, e.g. facial parts, sketches or expressions · CPC title

  • Preparation of hydrocarbons from one or more compounds, none of them being a hydrocarbon · CPC title

  • Physics · mapped topic

  • Physics · mapped topic

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Frequently asked questions

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What does patent US10311284B2 cover?
Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutra…
Who is the assignee on this patent?
Microsoft Technology Licensing Llc
What technology area does this patent fall under?
Primary CPC classification G06V40/16. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 04 2019 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 9 related publications on this page (citations in our corpus or others sharing the same primary CPC).