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Systems and methods for 3D image distification

專利號
US11176414B1
公開日期
2021-11-16
申請人
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY(US IL Bloomington)
發(fā)明人
Elizabeth Flowers; Puneit Dua; Eric Balota; Shanna L. Phillips
IPC分類
G06K9/62; G06K9/42; G06K9/00
技術(shù)領(lǐng)域
3d,2d,image,images,or,computing,matrix,in,2d3d,model
地域: IL IL Bloomington

摘要

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.

說明書

The gen_coords function, in some embodiments, can generate and store the 2D matrix points of the 2D image matrix 402 (or 2D image matrix 560) in memory. In some embodiments, a return value of the gen_coords function can include an array of the 2D matrix points of the 2D image matrix to query when building an output feature vector. The bounds parameter of the gen_coords function can define the upper and lower bounds of a 2D image matrix (e.g., to specify the number of horizontal and vertical coordinates that a 2D image matrix (e.g., matrix 402 or matrix 560) should have). Thus, the “bounds” coordinate can relate to boundaries of the 2D image matrix within a 3D image capture, for example, the x and y coordinates of a 3D image taken of a particular scene or position, where the x and y coordinates define the window or viewport of the 3D imagery being captured, which can include certain 3D data points or pixels of a 3D digital photograph or frame. The k parameter (472) can define the distance between each point in the 2d image matrix 402. Accordingly, by adjusting the bounds and k parameters, the granularity of the 2D image matrix (e.g., 402 or 560) can be modified.

Other functions may be used by the Distify method to Distify images taken from 3D files. For example, the Distify method may call the following function to generate an output feature vector based on a 3D file, such as a PLY file:

distify_frame(filepath_in, filepath_out, coords, total_frames)

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