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US Patent 11710309 Camera/object pose from predicted coordinates

Patent 11710309 was granted and assigned to Microsoft on July, 2023 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Microsoft
Microsoft
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Current Assignee
Microsoft
Microsoft
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
117103090
Date of Patent
July 25, 2023
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Patent Application Number
158959900
Date Filed
February 13, 2018
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Patent Citations
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US Patent 7158680 Apparatus and method for processing video data
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US Patent 7162075 Three-dimensional image capture system
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US Patent 7167578 Probabilistic exemplar-based pattern tracking
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US Patent 7170492 Interactive video display system
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US Patent 7184047 Method and apparatus for the generation of computer graphic representations of individuals
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US Patent 7184048 System and method for generating an animatable character
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US Patent 7202898 Self gating photosurface
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US Patent 7222078 Methods and systems for gathering information from units of a commodity across a network
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...
Patent Citations Received
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US Patent 11908072 System and method for generating and interacting with a virtual model of a physical entity
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US Patent 11983805 Process for creating an augmented image
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Patent Primary Examiner
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Sean M Conner
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Camera or object pose calculation is described, for example, to relocalize a mobile camera (such as on a smart phone) in a known environment or to compute the pose of an object moving relative to a fixed camera. The pose information is useful for robotics, augmented reality, navigation and other applications. In various embodiments where camera pose is calculated, a trained machine learning system associates image elements from an image of a scene, with points in the scene's 3D world coordinate frame. In examples where the camera is fixed and the pose of an object is to be calculated, the trained machine learning system associates image elements from an image of the object with points in an object coordinate frame. In examples, the image elements may be noisy and incomplete and a pose inference engine calculates an accurate estimate of the pose.

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