@InProceedings{Shimizu-SCIA07,
  IS = { zkontrolovano 13 Dec 2007 },
  UPDATE  = { 2007-07-24 },
  author =	 {Shimizu, Ikuko and Sugimoto, Akihiro and {\v S}{\'a}ra,
                  Radim},
  title =	 {Graph-based Range Image Registration Combining Geometric and
                  Photometric Features},
  year =	 {2007},
  pages =	 {542-552},
  booktitle =	 {SCIA 2007: Proceedings of 15th Scandinavian Conference on
                  Image Analysis},
  editor =	 {Ersb{\o}ll, B. K. and Pedersen, K. S.},
  publisher =	 {Springer Verlag},
  address =	 {Berlin, Heidelberg, Germany},
  issn =	 {0302-9743},
  series =	 {LNCS},
  number =	 {4522},
  book_pages =	 {900},
  month =	 {June},
  day =		 {10-14},
  venue =	 {Aalborg, Denmark},
  organization = {IAPR, Danish Pattern Recognition Society},
  annote = {We propose a coarse registration method of range images
    using both geometric and photometric features. The framework of
    existing methods using multiple features first defines a single
    similarity distance summing up each feature based evaluations, and
    then minimizes the distance between range images for
    registration. In contrast, we formulate registration as a
    graph-based optimization problem, where we independently evaluate
    geometric feature and photometric feature and consider only the
    order of point-to-point matching quality. We then find as large
    consistent matching as possible in the sense of the
    matchingquality order. This is solved as one global combinatorial
    optimization problem. Our method thus does not require any good
    initial estimation and, at the same time, guarantees that the
    global solution is achieved.},
  keywords =	 {range image, registration, matching, graph kernel },
  prestige =	 {international},
  authorship =	 {34-33-33},
  project =	 {1ET101210406, MRTN-CT-2004-005439},
}