公开(公告)号：US20200211279A1

公开(公告)日：2020-07-02

申请号：US16730795

申请日：2019-12-30

Applicant: DASSAULT SYSTEMES

Inventor： Guillaume RANDON ,  Serban Alexandru STATE ,  Fernando Manuel SANCHEZ BERMUDEZ

IPC: G06T17/10

Abstract: The disclosure notably relates to a computer-implemented method for generating a structured three-dimensional (3D) model from a mesh. The method includes obtaining a mesh that comprises faces, each face of the mesh including a normal and principal curvature values; computing a distribution of the principal curvatures values over the whole mesh by counting the number of occurrences of discretized curvature values; identifying in the computed distribution one or more dominant ranges of principal curvature values; for each identified dominant range, computing one or more regions of the mesh that includes faces belonging to the identified dominant range; for each computed region, detecting a primitive type by using the curvatures values of all faces of the region and identifying parameters of the detected primitive by using the mesh surface of the region.

公开(公告)号：US20200210636A1

公开(公告)日：2020-07-02

申请号：US16727338

申请日：2019-12-26

Applicant: DASSAULT SYSTEMES

Inventor： Fernando Manuel SANCHEZ BERMUDEZ ,  Eloi MEHR

IPC: G06F30/27 ,  G06F30/10

Abstract: The disclosure notably relates to a computer-implemented method for forming a dataset configured for learning a neural network. The neural network is configured for inference, from a freehand drawing representing a 3D shape, of a solid CAD feature representing the 3D shape. The method includes generating one or more solid CAD feature includes each representing a respective 3D shape. The method also includes, for each solid CAD feature, determining one or more respective freehand drawings each representing the respective 3D shape, and inserting in the dataset, one or more training samples. Each training sample includes the solid CAD feature and a respective freehand drawing. The method forms an improved solution for inference, from a freehand drawing representing a 3D shape, of a 3D modeled object representing the 3D shape.

公开(公告)号：US20200210845A1

公开(公告)日：2020-07-02

申请号：US16727413

申请日：2019-12-26

Applicant: DASSAULT SYSTEMES

Inventor： Fernando Manuel SANCHEZ BERMUDEZ ,  Eloi MEHR

IPC: G06N3/08 ,  G06N5/04 ,  G06N20/10 ,  G06F30/27 ,  G06F30/23 ,  G06T17/20

Abstract: The disclosure notably relates to computer-implemented method for learning a neural network configured for inference, from a freehand drawing representing a 3D shape, of a solid CAD feature representing the 3D shape. The method includes providing a dataset including freehand drawings each representing a respective 3D shape, and learning the neural network based on the dataset. The method forms an improved solution for inference, from a freehand drawing representing a 3D shape, of a 3D modeled object representing the 3D shape.

公开(公告)号：US20190197775A1

公开(公告)日：2019-06-27

申请号：US16230841

申请日：2018-12-21

Applicant: Dassault Systemes

Inventor： Fernando Manuel SANCHEZ BERMUDEZ ,  Mourad BOUFARGUINE ,  Guillaume RANDON

IPC: G06T17/20

Abstract: The disclosure notably relates to a computer-implemented method for 3D reconstruction. The method comprises providing a 3D point cloud representing a real object. The method also comprises fitting the 3D point cloud with parametric surfaces. The method also comprises defining a partition of the parametric surfaces into oriented facets which respect intersections between the parametric surfaces. The method also comprises determining, among the oriented facets of the partition, a set of facets that represents a skin of the real object. The determining comprises minimizing an energy. The energy includes a data term and a constraint term. The data term increasingly penalizes discarding facets, as a level of fit between a discarded facet and the 3D point cloud increases. The constraint term penalizes formation of non-skin geometry by kept facets. Such a method provides an improved solution for 3D reconstruction.