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:
Jan. 16, 2024

Filed:

May. 03, 2022
Applicant:

Shenzhen University, Guangdong, CN;

Inventors:

Hui Huang, Shenzhen, CN;

Pengdi Huang, Shenzhen, CN;

Assignee:

Shenzhen University, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 9/00 (2006.01); G06V 20/58 (2022.01); G06V 10/77 (2022.01); G06V 20/64 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06T 9/002 (2013.01); G06V 10/7715 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01); G06V 20/70 (2022.01);
Abstract

A point cloud data processing method and device, a computer device and a storage medium are provided. The method includes: acquiring point cloud data, and constructing a corresponding neighboring point set for each of data points in the point cloud data; calculating Hausdorff distances between the neighboring point set and a pre-constructed kernel point cloud to obtain a distance matrix; calculating a convolution of the neighboring point set with the distance matrix and a network weight matrix in a Hausdorff convolution layer in an encoder, to obtain high-dimensional point cloud features, the encoder and a decoder being two parts in a deep learning network; and reducing feature dimension of the high-dimensional point cloud features through the decoder, so that a classifier performs semantic classification on the point cloud data according to object point cloud features obtained by the dimension reduction.


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