US 11,670,097 B2
Systems and methods for 3D image distification
Elizabeth Flowers, Bloomington, IL (US); Puneit Dua, Bloomington, IL (US); Eric Balota, Bloomington, IL (US); and Shanna L. Phillips, Bloomington, IL (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed on Oct. 25, 2021, as Appl. No. 17/509,402.
Application 17/509,402 is a continuation of application No. 16/702,735, filed on Dec. 4, 2019, granted, now 11,176,414.
Application 16/702,735 is a continuation of application No. 15/596,171, filed on May 16, 2017, granted, now 10,504,003.
Prior Publication US 2022/0044069 A1, Feb. 10, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 20/59 (2022.01); G06V 10/32 (2022.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); G06F 18/22 (2023.01); G06V 10/80 (2022.01); G06F 18/2137 (2023.01)
CPC G06V 20/597 (2022.01) [G06F 18/2137 (2023.01); G06F 18/22 (2023.01); G06V 10/32 (2022.01); G06V 10/811 (2022.01); G06V 20/41 (2022.01); G06V 40/168 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computing device configured to Distify 3D imagery, the computing device comprising one or more processors configured to:
obtain a three dimensional (3D) image, wherein the 3D image defines a 3D point cloud;
generate a two dimensional (2D) image matrix based upon the 3D image, wherein the 2D image matrix includes one or more 2D matrix points, and wherein each 2D matrix point has a horizontal coordinate and a vertical coordinate; and
generate an output feature vector as a data structure that includes at least one 2D matrix point of the 2D image matrix, and a 3D point in the 3D point cloud of the 3D image,
wherein the 3D point in the 3D point cloud is mapped to a coordinate pair comprised of the horizontal coordinate and the vertical coordinate of the at least one 2D matrix point of the 2D image matrix, and
wherein the output feature vector is input into a predictive model.