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公开(公告)号:US10586309B2
公开(公告)日:2020-03-10
申请号:US15846328
申请日:2017-12-19
Applicant: DASSAULT SYSTEMES
Inventor: Mohamed Amine Ayari , Vincent Guitteny
Abstract: Described is a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.
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公开(公告)号:US09978177B2
公开(公告)日:2018-05-22
申请号:US15391950
申请日:2016-12-28
Applicant: Dassault Systemes
Inventor: Eloi Mehr , Vincent Guitteny
CPC classification number: G06T17/205 , G06F17/10 , G06T5/00 , G06T7/149 , G06T7/194 , G06T2200/24 , G06T2207/10024 , G06T2207/10028 , G06T2207/20
Abstract: 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.
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公开(公告)号:US20180077400A1
公开(公告)日:2018-03-15
申请号:US15701109
申请日:2017-09-11
Applicant: Dassault Systemes
Inventor: Mohamed Amine Ayari , Vincent Guitteny
CPC classification number: H04N13/111 , G06K9/00208 , G06K9/00369 , G06N20/00 , G06T17/20 , G06T2207/20081 , G06T2207/20084 , H04N13/257 , H04N13/271
Abstract: The invention notably relates to a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.
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公开(公告)号:US10586337B2
公开(公告)日:2020-03-10
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:US20180182071A1
公开(公告)日:2018-06-28
申请号:US15846328
申请日:2017-12-19
Applicant: DASSAULT SYSTEMES
Inventor: Mohamed Amine Ayari , Vincent Guitteny
CPC classification number: G06T5/002 , G06N3/04 , G06N3/08 , G06T7/75 , G06T7/85 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084
Abstract: Described is a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.
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公开(公告)号:US20170193699A1
公开(公告)日:2017-07-06
申请号:US15391950
申请日:2016-12-28
Applicant: Dassault Systemes
Inventor: Eloi Mehr , Vincent Guitteny
CPC classification number: G06T17/205 , G06F17/10 , G06T5/00 , G06T7/149 , G06T7/194 , G06T2200/24 , G06T2207/10024 , G06T2207/10028 , G06T2207/20
Abstract: 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.
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公开(公告)号:US12190524B2
公开(公告)日:2025-01-07
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:US11631221B2
公开(公告)日:2023-04-18
申请号:US17138259
申请日:2020-12-30
Applicant: DASSAULT SYSTEMES
Inventor: Eloi Mehr , Vincent Guitteny
Abstract: A computer-implemented method of augmented reality includes capturing the video flux with a video camera, extracting, from the video flux, one or more 2D images each representing the real object, and obtaining a 3D model representing the real object. The method also includes determining a pose of the 3D model relative to the video flux, among candidate poses. The determining rewards a mutual information, for at least one 2D image and for each given candidate pose, which represents a mutual dependence between a virtual 2D rendering and the at least one 2D image. The method also includes augmenting the video flux based on the pose. This forms an improved solution of augmented reality for augmenting a video flux of a real scene including a real object.
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