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US Patent 10504003 Systems and methods for 3D image distification

Patent 10504003 was granted and assigned to State Farm on December, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
State Farm
State Farm
Current Assignee
State Farm
State Farm
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10504003
Patent Inventor Names
Eric Balota0
Elizabeth Flowers0
Shanna L. Phillips0
Puneit Dua0
Date of Patent
December 10, 2019
Patent Application Number
15596171
Date Filed
May 16, 2017
Patent Citations Received
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US Patent 12067763 Three-dimensional point cloud label learning estimation device, three-dimensional point cloud label learning estimation method, and 3D point cloud label learning estimation program
0
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US Patent 10650631 Systems and methods for processing a distorted image
0
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US Patent 11587387 Systems and methods for processing a distorted image
0
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US Patent 11636681 Anticipating future video based on present video
0
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US Patent 11308702 Method and apparatus for displaying an image, electronic device and computer-readable storage medium
Patent Primary Examiner
‌
Vu Le
Patent abstract

Systems and methods are described for Distification of 3D imagery. A computing device may obtain a three dimensional (3D) image that includes rules defining a 3D point cloud used to generate a two dimensional (2D) image matrix. The 2D image matrix may include 2D matrix point(s) mapped to the 3D image, where each 2D matrix point can be associated with a horizontal coordinate and a vertical coordinate. The computing device can generate an output feature vector that includes, for at least one of the 2D matrix points, the horizontal coordinate and the vertical coordinate of the 2D matrix point, and a depth coordinate of a 3D point in the 3D point cloud of the 3D image. The 3D point can have a nearest horizontal and vertical coordinate pair that corresponds to the horizontal and vertical coordinates of the at least one 2D matrix point.

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