Direction-Driven Shape-Based Interpolation of Volume Data

paper

• Information
  
• Abstract
  
• Additional Files and Images
  
• BibTeX
  

• Publication Type: Technical Report
• Keywords: Eigensystem, Structure Tensor, Local Neighborhoods, Shape-based Interpolation

@techreport\{Hladuvka-2001-DDI,
  title =      "Direction-Driven Shape-Based Interpolation of Volume Data",
  author =     "Ji{\v r}{\' i} Hlad{\r u}vka and Meister Eduard
               Gr{\"o}ller",
  year =       "2001",
  abstract =   "We present a novel approach to shape-based interpolation of
               gray-level volume data. In contrast to the
               segmentation-based techniques our method directly processes
               the scalar volume requiring no user interaction. The key
               idea is to perform the interpolation in the directions given
               by analysis of the eigensystem of the structure tensor. Our
               method processes a 256 x 256 slice within a couple of
               seconds yielding satisfactory results. We give a
               quantitative and a visual comparison to the linear
               inter-slice interpolation. Analysis of the results lead us
               to the conclusion that our technique has a strong potential
               to compete with well-established shape-based interpolation  
                             algorithms.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  month =      may,
  number =     "TR-186-2-01-12",
  keywords =   "Eigensystem, Structure Tensor, Local Neighborhoods,
               Shape-based Interpolation",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-2001-DDI/",
}