公开(公告)号：US20240221176A1

公开(公告)日：2024-07-04

申请号：US18400517

申请日：2023-12-29

Applicant: DASSAULT SYSTEMES

Inventor： Paul JACOB ,  Tom DURAND ,  Ana MARCUSANU

IPC: G06T7/20

CPC classification number: G06T7/20 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A computer-implemented method for generating a training dataset. The training dataset includes training patterns each including a 3D point cloud of a respective travelable environment. The generating method includes, for each 3D point cloud, obtaining a 3D surface representation of the respective travelable environment, determining a traveling path inside the respective travelable environment, and, generating a virtual scan of the respective travelable environment along the traveling path, thereby obtaining the 3D point cloud. Such a method forms an improved solution for generating a training dataset of 3D point clouds.

公开(公告)号：US20220245431A1

公开(公告)日：2022-08-04

申请号：US17646082

申请日：2021-12-27

Applicant: DASSAULT SYSTEMES

Inventor： Eloi MEHR ,  Ariane JOURDAN ,  Paul JACOB

IPC: G06N3/04 ,  G06N3/08

Abstract: A computer-implemented method of machine-learning. The method includes obtaining a dataset of 3D modeled objects representing real-world objects. The method further includes learning, based on the dataset, a generative neural network. The generative neural network is configured for generating a deformation basis of an input 3D modeled object. The learning includes an adversarial training.