System and method of three-dimensional pose estimation
First Claim
1. A method of object pose estimation using machine-vision, comprising:
- identifying an object region of an image on which pose estimation is being performed based on a correspondence between at least a portion of a representation of an object in the image and at least a corresponding one of a plurality of reference two-dimensional models of the object, the object region being a portion of the image that contains the representation of at least a portion of the object; and
determining a three-dimensional pose of the object based on at least one of a plurality of reference three-dimensional models of the object and a runtime three-dimensional representation of the object region where a point-to-point relationship between the reference three-dimensional models of the object and the runtime three-dimensional representation of the object region is not necessarily previously known.
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Abstract
A system and method for identifying objects using a machine-vision based system are disclosed. Briefly described, one embodiment is a method that captures a first image of at least one object with an image capture device, processes the first captured image to find an object region based on a reference two-dimensional model and determines a three-dimensional pose estimation based on a reference three-dimensional model that corresponds to the reference two-dimensional model and a runtime three-dimensional representation of the object region where a point-to-point relationship between the reference three-dimensional models of the object and the runtime three-dimensional representation of the object region is not necessarily previously known. Thus, two-dimensional information or data is used to segment an image and three-dimensional information or data used to perform three-dimensional pose estimation on a segment of the image.
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Citations
37 Claims
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1. A method of object pose estimation using machine-vision, comprising:
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identifying an object region of an image on which pose estimation is being performed based on a correspondence between at least a portion of a representation of an object in the image and at least a corresponding one of a plurality of reference two-dimensional models of the object, the object region being a portion of the image that contains the representation of at least a portion of the object; and determining a three-dimensional pose of the object based on at least one of a plurality of reference three-dimensional models of the object and a runtime three-dimensional representation of the object region where a point-to-point relationship between the reference three-dimensional models of the object and the runtime three-dimensional representation of the object region is not necessarily previously known. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A non-transitory computer readable medium that stores instructions for causing a computer to perform object pose estimation using machine-vision, by:
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identifying an object region of an image based on a correspondence between at least a portion of a representation of an object in the object region of the image and at least a corresponding one of a plurality of reference two-dimensional models of the object, the object region being a portion of the image that contains the representation of at least a portion of the object; and determining a three-dimensional pose of the object based on at least one of a plurality of reference three-dimensional models of the object and a runtime three-dimensional representation of the object region where a point-to-point relationship between the reference three-dimensional models of the object and the runtime three-dimensional representation of the object region is not necessarily previously known. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30)
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31. A system to perform three-dimensional pose estimation, the system comprising:
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at least one sensor; at least one processor; and at least one memory storing processor executable instructions that cause the at least one processor to segment an image captured by the at least one sensor into a number of object regions based at least in part on a correspondence between at least a portion of a representation of an object in the object region of the image and at least a corresponding one of a plurality of reference two-dimensional models of the object and to cause the at least one processor to determine a three-dimensional pose of the object based on at least one of a plurality of reference three-dimensional models of the object that is related to the corresponding one of the plurality of reference two-dimensional models of the object and a runtime three-dimensional representation of the object region where a point-to-point relationship between the reference three-dimensional models of the object and the runtime three-dimensional representation of the object region is not necessarily previously known. - View Dependent Claims (32, 33, 34, 35, 36, 37)
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Specification