Entry Ranjan:1996:CUS from jgraphtools.bib

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BibTeX entry

@Article{Ranjan:1996:CUS,
  author =       "Vishwa Ranjan and Alain Fournier",
  title =        "Creating union of spheres models from multiple views",
  journal =      j-J-GRAPHICS-TOOLS,
  volume =       "1",
  number =       "4",
  pages =        "21--39",
  year =         "1996",
  CODEN =        "JGTOFD",
  ISSN =         "1086-7651",
  ISSN-L =       "1086-7651",
  bibdate =      "Thu Oct 12 17:08:13 2000",
  bibsource =    "http://www.acm.org/jgt/issues.html;
                 http://www.math.utah.edu/pub/tex/bib/jgraphtools.bib",
  URL =          "http://www.acm.org/jgt/papers/RanjanFournier96/",
  abstract =     "In this paper, we present a method to obtain a {\em
                 union of spheres (UoS)\/} model of an object by
                 integrating the information obtained from different
                 views, each view created by point-sampling of the
                 visible surface of the object. The boundary points can
                 be obtained from multiple range-finder images, or by
                 ray-tracing a model of the object (if available in a
                 ray-traceable form) from different views. The algorithm
                 consists of two parts: construction and simplification.
                 The construction method is based on the Delaunay
                 tetrahedralization of points in three dimensions and
                 uses the half-space constraints imposed by the
                 visibility directions of boundary points. The
                 simplification method is based on the concept of {\em
                 sphericity}. Sphericity is a quantity that measures how
                 well a set of spheres is approximated by a single
                 sphere. This allows us to reduce the number of
                 primitives in a controlled way, while keeping the union
                 of spheres model. It can also be used to stabilize the
                 union of spheres model, i.e., to make it independent of
                 the noise in the samples or other small distortions in
                 the data. Several examples illustrate the algorithm.",
  acknowledgement = ack-nhfb,
  journal-URL =  "http://www.tandfonline.com/loi/ujgt20",
}

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