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3D Object Repair Using 2D Algorithms

  • Pavlos Stavrou
  • Pavlos Mavridis
  • Georgios Papaioannou
  • Georgios Passalis
  • Theoharis Theoharis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3992)

Abstract

A number of three-dimensional algorithms have been proposed to solve the problem of patching surfaces to rectify and extrapolate missing information due to model problems or bad geometry visibility during data capture. On the other hand, a number of similar yet more simple and robust techniques apply to 2D image data and are used for texture restoration. In this paper we make an attempt to bring these two-dimensional techniques to the 3D domain due to their obvious advantage of simplicity and controllability. Creating a depth image with the help of a voxelisation algorithm will allow us to apply a variety of image repair algorithms in order to mend a 3D object. The use of three variations of the texture synthesis algorithm is investigated. Constrained texture synthesis and its variations using the Haar wavelet and image decomposition methods are also proposed in order to preserve patterns appearing on the object while trying to maintain its geometry intact.

Keywords

Depth Image Subdivision Scheme Haar Wavelet Texture Synthesis Radial Basis Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Pavlos Stavrou
    • 1
  • Pavlos Mavridis
    • 1
  • Georgios Papaioannou
    • 2
  • Georgios Passalis
    • 1
  • Theoharis Theoharis
    • 1
  1. 1.Department of InformaticsNational Kapodistrian University of AthensGreece
  2. 2.Department of InformaticsAthens University of Business and EconomicsGreece

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