Reconstructing A 3D Modeled Object

US2017193699A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017193699-A1
Application numberUS-201615391950-A
CountryUS
Kind codeA1
Filing dateDec 28, 2016
Priority dateDec 31, 2015
Publication dateJul 6, 2017
Grant date

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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.

First claim

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What is claimed is: 1 . 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. 2 . The method of claim 1 , wherein the set of deformation modes comprises a subset representative of geometrical modes that includes the rigid mode and the 3D scaling mode. 3 . The method of claim 2 , wherein the set of deformation modes further comprises a subset representative of at least one physics mode. 4 . The method of claim 3 , wherein the subset of at least one physics mode includes at least one material eigenmode. 5 . The method of claim 4 , wherein the material is a Saint Venant-Kirchhoff material. 6 . The method of claim 4 , wherein the subset representative of at least one physics mode includes a number of the lowest eigenvectors. 7 . The method of claim 5 , wherein the subset representative of at least one physics mode includes a number of the lowest eigenvectors. 8 . The method of claim 3 , wherein the program comprises a term of the type μp ( 0 ) with ϕ  ( θ ) = ( ∑ i = 1 p    α i s  ( A )  ) , where s(J)=max(|inf J|, |sup J|) and coefficients α i are the coefficients of the at least one physics mode. 9 . A device comprising a non-transitory readable storage medium having recorded thereon a data structure, the data structure including specifications of a 3D modeled object that represents a real object, the 3D modeled object being obtainable by 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. 10 . The device of claim 9 , the non-transitory readable storage medium forming a transportable data storage medium. 11 . The device of claim 9 , the non-transitory readable storage medium forming accessible memory, the device further comprising a processor coupled to the memory and to a graphical user interface. 12 . The device of claim 11 , wherein the device forms a computer system. 13 . A device comprising a non-transitory computer readable storage medium having recorded thereon a computer program, the computer program including instructions for performing 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. 14 . The device of claim 13 , the non-transitory readable storage medium forming a transportable data storage medium. 15 . The device of claim 13 , the non-transitory readable storage medium forming accessible memory, the device further comprising a processor coupled to the memory and to a graphical user interface. 16 . The device of claim 15 , wherein the device forms a computer system. 17 . The method of claim 1 , further comprising manufacturing a product represented by the reconstructed a 3D modeled object, the method producing the product based on the 3D modeled object.

Assignees

Inventors

Classifications

  • involving graphical user interfaces [GUIs] · CPC title

  • G06T17/205Primary

    Re-meshing · CPC title

  • Image enhancement or restoration · CPC title

  • involving foreground-background segmentation · CPC title

  • Range image; Depth image; 3D point clouds · CPC title

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What does patent US2017193699A1 cover?
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 com…
Who is the assignee on this patent?
Dassault Systemes
What technology area does this patent fall under?
Primary CPC classification G06T17/205. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jul 06 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).