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Interactive object selection

A technology of object selection and operation, applied in image data processing, biological neural network models, instruments, etc., can solve the problems of lack of efficiency, robustness and generalization ability

Pending Publication Date: 2021-06-18
DASSAULT SYSTEMES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] These methods lack efficiency, robustness and generalization ability

Method used

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Embodiment Construction

[0043] A computer-implemented machine learning method is proposed. The method includes providing a dataset of 3D point clouds. Each 3D point cloud includes at least one object. Each 3D point cloud is provided with provisions for one or more graphical user interactions each representing a corresponding selection operation on the same object in the 3D point cloud. The method also includes learning a neural network configured to segment the input 3D point cloud including the object based on the dataset. The segmentation is based on the input 3D point cloud and on the specification of one or more input graphical user interactions each representing a corresponding selection operation on an object in the 3D point cloud. This method may be called a learning method.

[0044] This constitutes an improved machine learning method for point cloud segmentation.

[0045] Notably, the learning method learns a neural network configured to segment an input 3D point cloud including objects....

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Abstract

The invention notably relates to a computer-implemented method of machine-learning. The method comprises providing a dataset of 3D point clouds. Each 3D point cloud comprises at least one object. Each 3D point cloud is equipped with a specification of one or more graphical user-interactions each representing a respective selection operation of a same object in the 3D point cloud. The method further comprises learning, based on the dataset, a neural network configured for segmenting an input 3D point cloud comprising an object. The segmenting is based on the input 3D point cloud and on a specification of one or more input graphical user-interactions each representing a respective selection operation of the object in the 3D point cloud. The method may be referred to as the learning method.

Description

technical field [0001] The present invention relates to the field of computer programs and systems, and in particular to a machine learning method, system and program. Background technique [0002] There are many systems and programs available in the market for the design, engineering and manufacturing of objects. CAD is an acronym for Computer Aided Design, which relates, for example, to software solutions for designing objects. CAE is an acronym for Computer Aided Engineering, which relates, for example, to software solutions for simulating the physical behavior of future products. CAM is an acronym for Computer Aided Manufacturing, which relates, for example, to software solutions for defining manufacturing processes and operations. In such computer-aided design systems, the graphical user interface plays an important role in terms of technical efficiency. These technologies can be embedded in product lifecycle management (PLM) systems. PLM refers to a business strate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20G06K9/62G06N3/04G06N3/08
CPCG06T17/20G06N3/08G06N3/045G06F18/214G06F30/10G06T7/11G06T2207/10028G06T2207/20081G06T2207/20084G06T2207/20101
Inventor A·雷耶步斯夫T·迪朗M·布尔克纳福德
Owner DASSAULT SYSTEMES
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