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公开(公告)号:US20180189957A1
公开(公告)日:2018-07-05
申请号:US15857821
申请日:2017-12-29
Applicant: DASSAULT SYSTEMES
Inventor: Fernando SANCHEZ BERMUDEZ , Eloi MEHR , David BONNER , Vincent GUITTENY , Mourad BOUFARGUINE , Patrick JOHNSON
Abstract: A computer-implemented method of computer vision in a scene that includes one or more transparent objects and/or one or more reflecting objects comprises obtaining 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 a segmented image of the scene based on the plurality of images. This improves the field of computer vision.
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公开(公告)号:US20250078407A1
公开(公告)日:2025-03-06
申请号:US18825252
申请日:2024-09-05
Applicant: DASSAULT SYSTEMES
Inventor: Nicolas BELTRAND , Fivos DOGANIS , Mourad BOUFARGUINE
Abstract: A computer-implemented method for designing a 3D model, which includes providing an initial 3D model in a 3D scene including at least one extruded section, being defined by a set of parameters, receiving a user sketch on the plane perpendicular to the sight of view direction, at each iteration: modifying at least one of said parameters, thereby obtaining a modified 3D model, performing a perspective projection, on a plane perpendicular to the sight of view direction, of the modified 3D mode, thereby obtaining a 2D visible wireframe including the visible inner and outer edges of the modified 3D model, computing an energy including a first term which penalizes an inconsistency between the modified and the initial 3D model, and a second term which penalizes a mismatch between the 2D visible wireframe and the user sketch, said parameters being modified to minimize said energy, and outputting the modified 3D model.
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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
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.
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公开(公告)号:US20250078435A1
公开(公告)日:2025-03-06
申请号:US18825134
申请日:2024-09-05
Applicant: DASSAULT SYSTEMES
Inventor: Nicolas BELTRAND , Fivos DOGANIS , Mourad BOUFARGUINE
Abstract: A computer-implemented method for designing a 3D model in an AR/VR environment including obtaining a 3D model in a 3D scene, the 3D model including at least one extruded section which results from the extrusion of a planar section, said extruded section being defined by a set of parameters, receiving a 3D user sketch in the 3D scene, at each iteration of a plurality of iterations: modifying at least one of said parameters, thereby obtaining a modified 3D model, performing a discretization of the modified 3D model, thereby obtaining a 3D point cloud, computing an energy which comprises a first term which penalizes an inconsistency between the modified 3D model and the initial 3D model, and a second term which penalizes a mismatch between the 3D point cloud and the 3D user sketch, said parameters being modified so as to minimize said energy, and outputting the modified 3D model.
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公开(公告)号:US20220036563A1
公开(公告)日:2022-02-03
申请号:US17384299
申请日:2021-07-23
Applicant: DASSAULT SYSTEMES
Inventor: Nicolas BELTRAND , Mourad BOUFARGUINE , Vincent GUITTENY
Abstract: A computer-implemented method for segmenting an object in at least one image acquired by a camera including computing an edge probabilities image based on the image, said edge probabilities image comprising, for each pixel of the image, the probability that said pixel is an edge, computing a segmentation probabilities image based on the image (IM), said segmentation probabilities image comprising, for each pixel of the image (IM), the probability that said pixel belongs to the object (OBJ), and computing a binary mask of the object based on the edge probabilities image and based on the segmentation probabilities image.
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公开(公告)号:US20160189358A1
公开(公告)日:2016-06-30
申请号:US14982591
申请日:2015-12-29
Applicant: DASSAULT SYSTEMES
Inventor: Mourad BOUFARGUINE
CPC classification number: H04N13/327 , G06T7/593 , G06T7/80 , G06T7/85 , G06T2207/10028 , H04N13/128 , H04N13/271 , H04N2013/0081
Abstract: A method for calibrating a depth camera comprising the steps of: S1) using a depth camera (DC) to be calibrated for acquiring a plurality of depth maps (DMS) of a physical three-dimensional reference object (PO), corresponding to different positions of the depth camera relative to the is reference object; S2) computing a three-dimensional reconstruction (3DRi) of the reference object from said depth maps, depending on values assigned to a set of calibration parameters (SCPi) of the depth camera; S3) computing an error (ERRi) between the three-dimensional reconstruction computed at step S2) and a predetermined digital model (RM) of the reference object; said steps S2) and S3) being iterated by assigning different values to said set of calibration parameters of the depth camera; and S4) choosing values (SCP) of said set of calibration parameters which minimize the error computed at step S3); said steps S2) to S4) being performed by a computer.
Abstract translation: 一种用于校准深度相机的方法,包括以下步骤:S1)使用要校准的深度相机(DC)来获取对应于不同位置的物理三维参考对象(PO)的多个深度图(DMS) 的深度相机相对于参考对象; S2)根据分配给深度相机的一组校准参数(SCPi)的值来计算来自所述深度图的参考对象的三维重建(3DRi); S3)计算在步骤S2)计算的三维重建与参考对象的预定数字模型(RM)之间的误差(ERRi); 通过向深度相机的所述一组校准参数分配不同的值来迭代所述步骤S2)和S3); 和S4)选择使在步骤S3计算的误差最小的所述校准参数集合的值(SCP); 所述步骤S2)至S4)由计算机执行。
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