Facial image quality assessment
First Claim
1. A method comprising:
- capturing, by a camera of a mobile computing device, an image;
determining whether the image includes a representation of at least a portion of a face; and
when the image includes the representation of at least the portion of the face;
computing a difference between a tonal distribution of the image and a tonal distribution of each previously classified image from a group of previously classified images, wherein the tonal distribution is associated with a darkness-based mapping of a plurality of pixels of the image, wherein at least one previously classified image from the group of previously classified images is classified as a good quality image, and wherein at least one previously classified image from the group of previously classified images is classified as a poor quality image;
determining a smallest computed difference between the tonal distribution of the image and the tonal distribution of a previously classified image from the group of previously classified images based at least in part on the computed differences; and
classifying, by the mobile computing device, a quality of the image by at least classifying the image as being of a same quality as the previously classified image associated with the smallest computed difference.
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Accused Products
Abstract
An example method includes capturing, by a camera of a mobile computing device, an image, determining whether the image includes a representation of at least a portion of a face, and, when the image includes the representation of at least the portion of the face, analyzing characteristics of the image. The characteristics include at least one of a tonal distribution of the image that is associated with a darkness-based mapping of a plurality of pixels of the image, and a plurality of spatial frequencies of the image that are associated with a visual transition between adjacent pixels of the image. The method further includes classifying, by the mobile computing device, a quality of the image based at least in part on the analyzed characteristics of the image.
95 Citations
28 Claims
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1. A method comprising:
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capturing, by a camera of a mobile computing device, an image; determining whether the image includes a representation of at least a portion of a face; and when the image includes the representation of at least the portion of the face; computing a difference between a tonal distribution of the image and a tonal distribution of each previously classified image from a group of previously classified images, wherein the tonal distribution is associated with a darkness-based mapping of a plurality of pixels of the image, wherein at least one previously classified image from the group of previously classified images is classified as a good quality image, and wherein at least one previously classified image from the group of previously classified images is classified as a poor quality image; determining a smallest computed difference between the tonal distribution of the image and the tonal distribution of a previously classified image from the group of previously classified images based at least in part on the computed differences; and classifying, by the mobile computing device, a quality of the image by at least classifying the image as being of a same quality as the previously classified image associated with the smallest computed difference. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A computer-readable storage device comprising instructions for causing at least one processor of a mobile computing device to perform operations comprising:
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capturing, by a camera of the mobile computing device, an image; determining whether the image includes a representation of at least a portion of a face; and when the image includes the representation of at least the portion of the face; computing a difference between the tonal distribution of the image and a tonal distribution of each previously classified image from a group of previously classified images, wherein at least one previously classified image from the group of previously classified images is classified as a good quality image, and wherein at least one previously classified image from the group of previously classified images is classified as a poor quality image; determining a smallest computed difference between the tonal distribution of the image and the tonal distribution of a previously classified image from the group of previously classified images based at least in part on the computed differences; classifying a quality of the image by at least classifying the image as being of a same quality as the previously classified image associated with the smallest computed difference; and when the quality of the image is classified as poor quality, outputting a notification that the image is a poor quality image.
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23. A mobile computing device comprising:
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at least one processor; and at least one camera operable to capture an image, wherein the at least one processor is configured to; determine that the image includes a representation of at least a portion of a face; compute a difference between a tonal distribution of the image and a tonal distribution of each previously classified image from a group of previously classified images, wherein the tonal distribution is associated with a darkness-based mapping of a plurality of pixels of the image, wherein at least one previously classified image from the group of previously classified images is classified as a good quality image, and wherein at least one previously classified image from the group of previously classified images is classified as a poor quality image; determine a smallest computed difference between the tonal distribution of the image and the tonal distribution of a previously classified image from the group of previously classified images based at least in part on the computed differences; and classify a quality of the image by at least classifying the image as being of a same quality as the previously classified image associated with the smallest computed difference. - View Dependent Claims (24, 25, 26, 27, 28)
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Specification