Determining the Uniqueness of a Model for Machine Vision
First Claim
1. A computerized method for determining a quality metric of a model of an object in a machine vision application, the method comprising:
- receiving a training image;
generating a model of an object based on the training image;
generating a modified training image based on the training image;
determining a set of poses that represent possible instances of the model in the modified training image; and
computing a quality metric of the model based on an evaluation of the set of poses with respect to the modified training image.
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Accused Products
Abstract
Described are methods and apparatuses, including computer program products, for determining model uniqueness with a quality metric of a model of an object in a machine vision application. Determining uniqueness involves receiving a training image, generating a model of an object based on the training image, generating a modified training image based on the training image, determining a set of poses that represent possible instances of the model in the modified training image, and computing a quality metric of the model based on an evaluation of the set of poses with respect to the modified training image.
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Citations
20 Claims
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1. A computerized method for determining a quality metric of a model of an object in a machine vision application, the method comprising:
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receiving a training image; generating a model of an object based on the training image; generating a modified training image based on the training image; determining a set of poses that represent possible instances of the model in the modified training image; and computing a quality metric of the model based on an evaluation of the set of poses with respect to the modified training image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A computer program product, tangibly embodied in a machine-readable storage device, the computer program product including instructions being operable to cause a data processing apparatus to:
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receive a training image; generate a model of an object based on the training image; generate a modified training image based on the training image; determine a set of poses that represent possible instances of the model in the modified training image; and compute a quality metric of the model based on an evaluation of the set of poses with respect to the modified training image.
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19. A system for determining a quality metric of a model of an object in a machine vision application, the system comprising:
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interface means for receiving a training image; model generating means for generating a model of an object based on the training image; image modifying means for generating a modified training image based on the training image; processor means for determining a set of poses that represent possible instances of the model in the modified training image; and processor means for computing a quality metric of the model based on an evaluation of the set of poses with respect to the modified training image.
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20. A machine vision system for determining a quality metric of a model of an object in a machine vision application, the system comprising:
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an interface for receiving a training image; a model generating module for generating a model of an object based on the training image; an image processing module for generating a modified training image based on the training image; a run-time module for determining a set of poses that represent possible instances of the model in the modified training image; and a quality-metric module for computing a quality metric of the model based on an evaluation of the set of poses with respect to the modified training image.
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Specification