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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: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: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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