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:
Sep. 23, 2025

Filed:

Mar. 10, 2022
Applicant:

Dassault Systemes, Vélizy-villacoublay, FR;

Inventors:

Ariane Jourdan, Vélizy-villacoublay, FR;

Eloi Mehr, Vélizy-villacoublay, FR;

Assignee:

DASSAULT SYSTEMES, Vélizy-Villacoublay, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/34 (2006.01); G06N 3/08 (2023.01); G06T 7/11 (2017.01); G06T 9/00 (2006.01); G06T 17/00 (2006.01); G06T 17/20 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06T 9/002 (2013.01); G06T 17/00 (2013.01); G06T 17/20 (2013.01); G06N 20/00 (2019.01); G06T 2200/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A computer-implemented method of machine-learning including obtaining a dataset of training samples. Each training sample includes a pair of 3D modeled object portions labelled with a respective value. The respective value indicates whether or not the two portions belong to a same segment of a 3D modeled object. The method further includes learning a neural network based on the dataset. The neural network takes as input two portions of a 3D modeled object representing a mechanical part and outputs a respective value. The respective value indicates an extent to which the two portions belong to a same segment of the 3D modeled object. The neural network is thereby usable for 3D segmentation. The method constitutes an improved solution for 3D segmentation.


Find Patent Forward Citations

Loading…