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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

In some embodiments, the output feature vector can include one or more image feature values associated with the chosen 3D point. The feature values can define one or more items of interest in the 3D image. For example, in one embodiment, items of interest in the 3D image can include a person's head, a person's hand, or a person's leg or other human characteristics, features, or activities identifiable in the 3D image. In other embodiments, features or items of interest can define more general aspects of the image, such as edges, curves, points, vertices, or other aspects of the image. In one embodiment, for example, edges or curves or lines may be characteristic of a human head, eye, or mouth.

FIG. 4 illustrates a perspective view of an embodiment of a 2D image matrix generated from a 3D image. For example, the 2D image matrix and 3D image may be those described with respect to the Distify method of FIG. 3. In FIG. 4, a 2D image matrix 402 is generated from raw 3D image 404, or, in some embodiments, from a 2D-axis associated with raw 3D image 404. The raw 3D image 404 can be associated with a 3D point cloud 406 which defines a set of depth coordinates (e.g., z-values) depicted in plane 408 and further associated with horizontal and vertical coordinates in the 2D-axis of the 3D image relative to the plane of the 2D image matrix 402.

權(quán)利要求

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