Methods involving face model fitting
First Claim
Patent Images
1. A method for face model fitting comprising:
- receiving a first observed image;
receiving a second observed image; and
fitting an active appearance model of a third image to the second observed image and the first observed image with an algorithm that includes a first function of a mean-square-error between a warped image of the second observed image and a synthesis of the active appearance model and a second, function of a mean-square-error between the warped image of the second observed image and an appearance data of the first observed image.
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Abstract
A method for face model fitting comprising, receiving a first observed image, receiving a second observed image, and fitting an active appearance model of a third image to the second observed image and the first observed image with an algorithm that includes a first function of a mean-square-error between a warped image of the second observed image and a synthesis of the active appearance model and a second function of a mean-square-error between the warped image of the second observed image and an appearance data of the first observed image.
6 Citations
14 Claims
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1. A method for face model fitting comprising:
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receiving a first observed image; receiving a second observed image; and fitting an active appearance model of a third image to the second observed image and the first observed image with an algorithm that includes a first function of a mean-square-error between a warped image of the second observed image and a synthesis of the active appearance model and a second, function of a mean-square-error between the warped image of the second observed image and an appearance data of the first observed image. - View Dependent Claims (2, 3, 4)
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5. A method for face model fitting comprising:
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receiving a first observed image; receiving a second observed image; receiving a third observed image; and fitting an active appearance model of a fourth image to the third observed image, the second observed image, and the first observed image with an algorithm that includes a first function of a mean-square-error between a warped image of the third observed image and a synthesis of the active appearance model and a second function of a mean-square-error between a warped image of the third observed image and appearance data of the first and second observed images; wherein the appearance data of the first and second observed images is an average of a warped image of the first observed image and a warped image of the second observed image. - View Dependent Claims (6, 7, 9)
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8. A method for face model fitting comprising:
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receiving a first observed image; receiving a second observed image; receiving a third observed image; and fitting an active appearance model of a fourth image to the third observed image, the second observed image, and the first observed image with an algorithm that includes a first function of a mean-square-error between a warped image of the third observed image and a synthesis of the active appearance model and a second function of a mean-square-error between a warped image of the third observed image and appearance data of the first and second observed images; wherein the appearance data of the first and second observed images is a dynamic eigenspace model of a warped image of the first observed image and a warped image of the second observed image.
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10. A method for face model fitting comprising:
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receiving a first observed image; receiving a second observed image; and fitting an active appearance model of a third image to the second observed image and the first observed image with an algorithm - View Dependent Claims (11, 12, 13, 14)
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Specification