Transforming A Submitted Image Of A Person Based On A Condition Of The Person
First Claim
1. A computer-implemented method comprising:
- obtaining a before image of a person taken before a portion of the person'"'"'s body has changed, and an actual after image of the person taken after the portion of person'"'"'s body has changed;
applying model parameters to the before image of the person to generate a forecasted after image that predicts how the portion of the person'"'"'s body will appear after the portion of the person'"'"'s body has changed;
comparing the actual after image to the forecasted after image to determine an error between the actual after image and the forecasted after image; and
adjusting the model parameters based on the error.
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Accused Products
Abstract
Apparatuses, computer media, and methods for altering a submitted image of a person. The submitted image is transformed in accordance with associated data regarding the person'"'"'s condition. Global data may be processed by a statistical process to obtain cluster information, and the transformation parameter is then determined from cluster information. The transformation parameter is then applied to a portion of the submitted image to render a transformed image. A transformation parameter may include a texture alteration parameter, a hair descriptive parameter, or a reshaping parameter. An error measure may be determined that gauges a discrepancy between a transformed image and an actual image. A transformation model is subsequently reconfigured with a modified model in order to reduce the error measure. Also, the transformation model may be trained to reduce an error measure for the transformed image.
65 Citations
20 Claims
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1. A computer-implemented method comprising:
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obtaining a before image of a person taken before a portion of the person'"'"'s body has changed, and an actual after image of the person taken after the portion of person'"'"'s body has changed; applying model parameters to the before image of the person to generate a forecasted after image that predicts how the portion of the person'"'"'s body will appear after the portion of the person'"'"'s body has changed; comparing the actual after image to the forecasted after image to determine an error between the actual after image and the forecasted after image; and adjusting the model parameters based on the error. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising:
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one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising; obtaining a before image of a person taken before a portion of the person'"'"'s body has changed, and an actual after image of the person taken after the portion of person'"'"'s body has changed; applying model parameters to the before image of the person to generate a forecasted after image that predicts how the portion of the person'"'"'s body will appear after the portion of the person'"'"'s body has changed; comparing the actual after image to the forecasted after image to determine an error between the actual after image and the forecasted after image; and adjusting the model parameters based on the error. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
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obtaining a before image of a person taken before a portion of the person'"'"'s body has changed, and an actual after image of the person taken after the portion of person'"'"'s body has changed; applying model parameters to the before image of the person to generate a forecasted after image that predicts how the portion of the person'"'"'s body will appear after the portion of the person'"'"'s body has changed; comparing the actual after image to the forecasted after image to determine an error between the actual after image and the forecasted after image; and adjusting the model parameters based on the error. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification