CREATION OF REPRESENTATIVE CONTENT BASED ON FACIAL ANALYSIS

• US 20170228583A1
• Filed: 04/26/2017
• Published: 08/10/2017
• Est. Priority Date: 04/28/2014
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Chan, Chunkit Jacky, Ricard, Doug, Light, Allison, Scott, Stacia, Lee, David
• Granted Patent: US 10,311,284 B2
• Time in Patent Office: Days
• CPC Class Codes: C07C 1/00 Preparation of hydrocarbons from one or more compounds, none of them being a hydrocarbon
• CPC Class Codes: G06V 40/16 Human faces, e.g. facial parts, sketches or expressions
• CPC Class Codes: G06V 40/161 Detection; Localisation; Normalisation
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation
• CPC Class Codes: G06V 40/174 Facial expression recognition
• CPC Class Codes: G06V 40/193 Preprocessing; Feature extraction

Abstract

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.

Claims

1. A method performed on a computing device, the method comprising:

analyzing, by the computing device based on a face identifier that identifies a face detected in an image and on a set of facial feature descriptors that indicate features of the detected face, the features of the detected face including a mouth of the face and at least one eye of the face; and

generating, by the computing device based on the analyzed features of the detected face, a face signature that uniquely identifies the detected face at least within a scope of the analyzed features.

2. The method of claim 1 where the generated face signature is sufficient to identify faces in other images that are of a same person as the detected face.

3. The method of claim 1 further comprising generating, by the computing device based on the analyzed features of the detected face, a quality score of the detected face.

4. The method of claim 1 where the quality score is influenced based on whether or not the detected face is located near an edge of the image.

5. The method of claim 1 where the quality score is influenced based on whether or not the detected face is cut off in the image.

6. The method of claim 1 further comprising generating, by the computing device based on the analyzed features of the detected face, an expression of the detected face.

7. The method of claim 1 further comprising generating, by the computing device based on the analyzed features of the detected face, a pose of the detected face.

8. 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;

analyzing, by the computing device based on a face identifier that identifies a face detected in an image and on a set of facial feature descriptors that indicate features of the detected face, the features of the detected face including a mouth of the face and at least one eye of the face; and

generating, by the computing device based on the analyzed features of the detected face, a face signature that uniquely identifies the detected face at least within a scope of the analyzed features.

9. The computing device of claim 8 where the generated face signature is sufficient to identify faces in other images that are of a same person as the detected face.

10. The computing device of claim 8, the actions further comprising generating, by the computing device based on the analyzed features of the detected face, a quality score of the detected face.

11. The computing device of claim 8 where the quality score is influenced based on whether or not the detected face is located near an edge of the image.

12. The computing device of claim 8 where the quality score is influenced based on whether or not the detected face is cut off in the image.

13. The computing device of claim 8, the actions further comprising generating, by the computing device based on the analyzed features of the detected face, an expression of the detected face.

14. The computing device of claim 8, the actions further comprising generating, by the computing device based on the analyzed features of the detected face, a pose of the detected face.

15. 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:

analyzing, by the computing device based on a face identifier that identifies a face detected in an image and on a set of facial feature descriptors that indicate features of the detected face, the features of the detected face including a mouth of the face and at least one eye of the face; and

generating, by the computing device based on the analyzed features of the detected face, a face signature that uniquely identifies the detected face at least within a scope of the analyzed features.

16. The at least one computer-readable media of claim 15 where the generated face signature is sufficient to identify faces in other images that are of a same person as the detected face.

17. The at least one computer-readable media of claim 15, the actions further comprising generating, by the computing device based on the analyzed features of the detected face, a quality score of the detected face.

18. The at least one computer-readable media of claim 15 where the quality score is influenced based on whether or not the detected face is located near an edge of the image, or where the quality score is influenced based on whether or not the detected face is cut off in the image.

19. The at least one computer-readable media of claim 15, the actions further comprising generating, by the computing device based on the analyzed features of the detected face, an expression of the detected face.

20. The at least one computer-readable media of claim 15, the actions further comprising generating, by the computing device based on the analyzed features of the detected face, a pose of the detected face.