Facial image quality assessment
First Claim
1. A method comprising:
- capturing, by a camera of a mobile computing device, an image;
generating, by the mobile computing device, a facial detection confidence score based at least in part on a likelihood that a representation of at least a portion of a face is included in the image;
generating, by the mobile computing device, a facial landmark detection confidence score based at least in part on a likelihood that representations of facial landmarks are accurately identified in the image;
generating, by the mobile computing device, a geometric consistency score based at least in part on a difference between a point of intersection between a nose base and a line segment that passes through each eye and a midpoint of the line segment in the image;
generating, by the mobile computing device, an image quality score based at least in part on a combination of the facial detection confidence score, the facial landmark detection confidence score, and the geometric consistency score; and
classifying, by the mobile computing device, a quality of the image based at least in part on the image quality score.
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Abstract
In general, this disclosure describes techniques for assessing image quality of captured facial images. An example method includes capturing an image, generating a facial detection confidence score based in part on a likelihood that a representation of at least a portion of a face is included in the image, generating a facial landmark detection confidence score based at least in part on a likelihood that representations of facial landmarks are accurately identified in the image, and generating a geometric consistency score based at least in part on a difference between a point of intersection between a nose base and a line segment that passes through each eye and a midpoint of the line segment. The method also includes generating an image quality score based in part on a combination of the confidence scores, and the consistency score, and classifying an image quality based on the image quality score.
193 Citations
20 Claims
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1. A method comprising:
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capturing, by a camera of a mobile computing device, an image; generating, by the mobile computing device, a facial detection confidence score based at least in part on a likelihood that a representation of at least a portion of a face is included in the image; generating, by the mobile computing device, a facial landmark detection confidence score based at least in part on a likelihood that representations of facial landmarks are accurately identified in the image; generating, by the mobile computing device, a geometric consistency score based at least in part on a difference between a point of intersection between a nose base and a line segment that passes through each eye and a midpoint of the line segment in the image; generating, by the mobile computing device, an image quality score based at least in part on a combination of the facial detection confidence score, the facial landmark detection confidence score, and the geometric consistency score; and classifying, by the mobile computing device, a quality of the image based at least in part on the image quality score. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A mobile computing device, comprising:
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at least one camera configured to capture an image; and at least one processor configured to; generate a facial detection confidence score based at least in part on a likelihood that a representation of at least a portion of a face is included in the image; generate a facial landmark detection confidence score based at least in part on a likelihood that representations of facial landmarks are accurately identified in the image; generate a geometric consistency score based at least in part on a difference between a point of intersection between a nose base and a line segment that passes through each eye and a midpoint of the line segment in the image; generate an image quality score based at least in part on a combination of the facial detection confidence score, the facial landmark detection confidence score, and the geometric consistency score; and classify a quality of the image based at least in part on the image quality score.
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20. A tangible computer-readable storage medium comprising instructions for causing at least one processor of a mobile computing device to perform operations comprising:
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capturing, with a camera of the mobile computing device, an image; generating a facial detection confidence score based at least in part on a likelihood that a representation of at least a portion of a face is included in the image; generating a facial landmark detection confidence score based at least in part on a likelihood that representations of facial landmarks are accurately identified in the image; generating a geometric consistency score based at least in part on a difference between a point of intersection between a nose base and a line segment that passes through each eye and a midpoint of the line segment in the image; generating an image quality score based at least in part on a combination of the facial detection confidence score, the facial landmark detection confidence score, and the geometric consistency score; and classifying a quality of the image based at least in part on the image quality score.
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Specification