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. 13, 2022

Filed:

Dec. 26, 2019
Applicant:

Dassault Systemes, Velizy Villacoublay, FR;

Inventor:

Eloi Mehr, Velizy Villacoublay, FR;

Assignee:

DASSAULT SYSTEMES, Velizy Villacoublay, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06T 7/55 (2017.01); G06T 17/20 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06T 7/55 (2017.01); G06T 17/20 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2210/56 (2013.01);
Abstract

The disclosure notably relates to a computer-implemented method of machine-learning. The method includes obtaining a dataset including 3D modeled objects which each represent a respective mechanical part. The dataset has one or more sub-datasets. Each sub-dataset forms at least a part of the dataset. The method further includes, for each respective sub-dataset, determining a base template and learning a neural network configured for inference of deformations of the base template each into a respective 3D modeled object. The base template is a 3D modeled object which represents a centroid of the 3D modeled objects of the sub-dataset. The learning includes a training based on the sub-dataset. This constitutes an improved method of machine-learning with a dataset including 3D modeled objects which each represent a respective mechanical part.


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