Patent ID: 11893313
Assignee: DASSAULT SYSTEMES
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method of machine-learning, the method comprising:
obtaining a dataset of 3D point clouds, each 3D point cloud including at least one object, each 3D point cloud being 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; and
teaching, based on the dataset, a neural network configured for segmenting an input 3D point cloud including an object, the segmenting being 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,
wherein the obtaining of the dataset of 3D point clouds further includes:
obtaining the 3D point clouds and, for each 3D point cloud, information about location of said same object in the 3D point cloud, and
for each 3D point cloud:
determining the specification by simulating each graphical user-interaction of the one or more graphical user-interactions, and
equipping the 3D point cloud with the specification of the one or more graphical user-interactions.