公开(公告)号：EP4044116A1

公开(公告)日：2022-08-17

申请号：EP21305195.6

申请日：2021-02-16

申请人： Dassault Systèmes

发明人： MEHR, Eloi ,  JOURDAN, Ariane

IPC分类号： G06T7/162 ,  G06T7/187 ,  G06T17/10 ,  G06T19/00

摘要： It is provided a computer-implemented method for segmenting a 3D modeled object. The 3D modeled object represents a mechanical part. The method comprises providing the 3D modeled object. The method further comprises performing a hierarchical segmentation of the 3D modeled object. The hierarchical segmentation comprises a first segmentation. The first segmentation comprises identifying, among surfaces of the 3D modeled object, first segments each corresponding to a simple geometric surface of the 3D modeled object. A simple geometric surface is a primitive exhibiting at least one slippable motion. The hierarchical segmentation comprises then a second segmentation. The second segmentation comprises identifying, among non-identified surfaces of the 3D modeled object, second segments each corresponding to a free-form surface of the 3D modeled object. This constitutes an improved method for segmenting a 3D modeled object representing a mechanical part.

公开(公告)号：EP3825956A1

公开(公告)日：2021-05-26

申请号：EP19306502.6

申请日：2019-11-21

申请人： Dassault Systèmes

发明人： Randon, Guillaume ,  MEHR, Eloi

IPC分类号： G06T5/00

摘要： The invention notably relates to a computer-implemented method for processing a 3D signal of a shape attribute over a real object. The method comprises providing a graph having nodes and arcs. Each node represents a respective point of a measured 3D discrete representation of the real object. Each arc connects two nodes representing neighboring points of the discrete representation. The method further comprises providing a set of values representing a distribution of the shape attribute over the real object. Each value is associated to a respective node of the graph and represents the shape attribute at the respective point represented by the respective node. The method further comprises modifying the set of values by minimizing an energy defined on a Markov Random Field formed on the graph. The energy penalizes, for each arc connecting a first node to a second node, the first node being associated to a first value and the second node being associated to a second value, a highness of an increasing function of: a distance between the first value and the second value, a distance between a first point, represented by the first node, and a medial geometrical element of the discrete representation, and a distance between a second point, represented by the second node, and the medial geometrical element. This constitutes an improved method for processing a 3D signal of a shape attribute over a real object.

公开(公告)号：EP3188033A1

公开(公告)日：2017-07-05

申请号：EP15307199.8

申请日：2015-12-31

申请人： Dassault Systèmes

发明人： MEHR, Eloi ,  GUITTENY, Vincent

IPC分类号： G06F17/10 ,  G06T7/00 ,  G06T17/00 ,  G06T19/00

CPC分类号： G06T17/205 ,  G06F17/10 ,  G06T5/00 ,  G06T7/149 ,  G06T7/194 ,  G06T2200/24 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20

摘要： The invention notably relates to a computer-implemented method for reconstructing a 3D modeled object that represents a real object, from a 3D mesh and measured data representative of the real object, the method comprising providing a set of deformation modes; determining a composition of the deformation modes which optimizes a program that rewards fit between the 3D mesh as deformed by the composition and the measured data, and that further rewards sparsity of the deformation modes involved in the determined composition; and applying the composition to the 3D mesh.
The method improves reconstructing a 3D modeled object that represents a real object.

摘要翻译： 本发明特别涉及用于从3D网格和代表真实对象的测量数据重建表示真实对象的3D建模对象的计算机实现的方法，该方法包括提供一组变形模式; 确定变形模式的组成，所述变形模式的组成优化在由所述构图变形的所述3D网格和所述测量的数据之间的奖励适合的程序，并且进一步奖励涉及所确定的构图的变形模式的稀疏性; 并将组合物应用到3D网格。 该方法改进了重建表示真实对象的3D建模对象。

公开(公告)号：EP4345673A1

公开(公告)日：2024-04-03

申请号：EP22306451.0

申请日：2022-09-29

申请人： Dassault Systèmes

发明人： BRIFAULT, Lucas ,  MEHR, Eloi

IPC分类号： G06F30/17 ,  G06F30/20 ,  G06F111/04

摘要： The disclosure notably relates to a computer-implemented method comprising providing a mesh representing a segment of an outer surface of a portion of a mechanical part. The method further comprises determining curves over the mesh that each follows maximal curvature directions of the mesh, fitting each curve with a respective circle, thereby obtaining a set of circles, and calculating a value of one or more statistics of the set of circles. The method then detects whether the mesh is a fillet or not as a function of the value of the one or more statistics.

公开(公告)号：EP4036783A1

公开(公告)日：2022-08-03

申请号：EP21305132.9

申请日：2021-01-29

申请人： Dassault Systèmes

发明人： MEHR, Eloi ,  JOURDAN, Ariane ,  JACOB, Paul

IPC分类号： G06F30/27 ,  G06N3/04 ,  G06N3/08 ,  G06T19/20

摘要： The invention notably relates to a computer-implemented method of machine-learning. The method comprises providing a dataset of 3D modeled objects representing real-world objects. The method further comprises 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 comprising an adversarial training.

公开(公告)号：EP3671660A1

公开(公告)日：2020-06-24

申请号：EP18306758.6

申请日：2018-12-20

申请人： Dassault Systèmes

发明人： MEHR, Eloi

IPC分类号： G06T19/20

摘要： The invention notably relates to a computer-implemented method for designing a 3D modeled object via user-interaction. The method comprises providing the 3D modeled object and a machine-learnt decoder. The machine-learnt decoder is a differentiable function taking values in a latent space and outputting values in a 3D modeled object space. The method further comprises defining, by a user, a deformation constraint for a part of the 3D modeled object. The method further comprises determining an optimal vector. The optimal vector minimizes an energy. The energy explores latent vectors. The energy comprises a term which penalizes, for each explored latent vector, non-respect of the deformation constraint by the result of applying the decoder to the explored latent vector. The method further comprises applying the decoder to the optimal latent vector. This constitutes an improved method for designing a 3D modeled object via user-interaction.

公开(公告)号：EP3599575A1

公开(公告)日：2020-01-29

申请号：EP19191973.7

申请日：2017-04-27

申请人： Dassault Systèmes

发明人： MEHR, Eloi ,  Lieutier, André

IPC分类号： G06N3/04 ,  G06T7/30 ,  G06F17/50

摘要： The invention notably relates to a computer-implemented method for learning an autoencoder. The method comprises providing a dataset of images. Each image includes a respective object representation. The method also comprises learning the autoencoder based on the dataset. The learning includes minimization of a reconstruction loss. The reconstruction loss includes a term that penalizes a distance for each respective image. The penalized distance is between the result of applying the autoencoder to the respective image and the set of results of applying at least part of a group of transformations to the object representation of the respective image.
Such a method provides an improved solution to learn an autoencoder.

公开(公告)号：EP3343504A1

公开(公告)日：2018-07-04

申请号：EP16306861.2

申请日：2016-12-30

申请人： Dassault Systèmes

发明人： MEHR, Eloi

IPC分类号： G06T7/11 ,  G06T7/143 ,  G06T7/174 ,  G06T7/55

CPC分类号： G06T7/11 ,  G06T7/143 ,  G06T7/174 ,  G06T7/55 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/10048

摘要： A computer-implemented method of producing a segmented image of a scene comprises providing a plurality of images of the scene, each image corresponding to a respective acquisition of a physical signal, the plurality of images including at least two images corresponding to different physical signals, and generating the segmented image based on the plurality of images, by determining a distribution of labels that minimizes an energy defined on a Markov Random Field (MRF).
This improves the field of computer vision.

公开(公告)号：EP4300344A1

公开(公告)日：2024-01-03

申请号：EP22305935.3

申请日：2022-06-27

申请人： Dassault Systèmes

发明人： BRIFAULT, Lucas ,  JOURDAN, Ariane ,  MEHR, Eloi

IPC分类号： G06F30/10 ,  G06T17/00

摘要： The disclosure notably relates to a computer-implemented method for generating a CAD feature tree from a discrete geometrical representation of a mechanical product. The method comprises providing the discrete geometrical representation, and a set of CAD features. The method further comprises determining one or more sequences of CAD features from the set of CAD features by optimizing an objective function which rewards a fitting of the discrete geometrical representation by a candidate sequence, and penalizes a complexity of a candidate sequence, the complexity of a candidate sequence being a function of the candidate sequence that increases when adding a feature to the candidate sequence.

公开(公告)号：EP4057222A1

公开(公告)日：2022-09-14

申请号：EP21305293.9

申请日：2021-03-10

申请人： Dassault Systèmes

发明人： JOURDAN, Ariane ,  MEHR, Eloi

IPC分类号： G06T7/11 ,  G06T7/162

摘要： The disclosure relates to a computer-implemented method of machine-learning. The method comprises providing a dataset of training samples. Each training sample includes a pair of 3D modeled object portions labelled with a respective value. The respective value indicates whether or not the two portions belong to a same segment of a 3D modeled object. The method further comprises learning a neural network based on the dataset. The neural network is configured for taking as input two portions of a 3D modeled object representing a mechanical part and for outputting a respective value. The respective value indicates an extent to which the two portions belong to a same segment of the 3D modeled object. The neural network is thereby usable for 3D segmentation. The method constitutes an improved solution for 3D segmentation.