Towards recovery of complex shapes in meshes using digital images for reverse engineering applications - Archive ouverte HAL
Article Dans Une Revue Computer-Aided Design Année : 2010

Towards recovery of complex shapes in meshes using digital images for reverse engineering applications

Résumé

When an object owns complex shapes, or when its outer surfaces are simply inaccessible, some of its parts may not be captured during its reverse engineering. These deficiencies in the point cloud result in a set of holes in the reconstructed mesh. This paper deals with the use of information extracted from digital images to recover missing areas of a physical object. The proposed algorithm fills in these holes by solving an optimization problem that combines two kinds of information: (1) the geometric information available on the surrounding of the holes, (2) the information contained in an image of the real object. The constraints come from the image irradiance equation, a first-order non-linear partial differential equation that links the position of the mesh vertices to the light intensity of the image pixels. The blending conditions are satisfied by using an objective function based on a mechanical model of bar network that simulates the curvature evolution over the mesh. The inherent shortcomings both to the current holefilling algorithms and the resolution of the image irradiance equations are overcome
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Dates et versions

hal-01019971 , version 1 (09-06-2015)

Identifiants

  • HAL Id : hal-01019971 , version 1
  • ENSAM : http://hdl.handle.net/10985/8324

Citer

Minica Panchetti, Jean-Philippe Pernot, Philippe Veron. Towards recovery of complex shapes in meshes using digital images for reverse engineering applications. Computer-Aided Design, 2010, 42 (8), pp.693-707. ⟨hal-01019971⟩
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