The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 14, 2023

Filed:

Mar. 17, 2021
Applicants:

Ran Cheng, Markham, CA;

Ryan Razani, Toronto, CA;

Bingbing Liu, Markham, CA;

Inventors:

Ran Cheng, Markham, CA;

Ryan Razani, Toronto, CA;

Bingbing Liu, Markham, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06V 10/44 (2022.01); G06V 30/262 (2022.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06V 10/44 (2022.01); G06V 30/274 (2022.01); G06T 2207/20084 (2013.01);
Abstract

In methods and systems for graph-based panoptic segmentation of point clouds, points of a point cloud are received with a semantic label from a first category. Further, a plurality of unified cluster feature vectors from a second category are received, each being extracted from a cluster of points in the point cloud. Nodes of a constructed graph represent the unified feature vectors, and edges indicate the relationship between pairs of nodes. The edges are represented as an adjacency matrix indicating the existence or absence of an edge between pairs of nodes. A graph convolutional neural network uses the graph to predict an instance label for each node or an attribute for each edge, wherein the attribute of each edge is used for assigning the instance label to each node.


Find Patent Forward Citations

Loading…