Tiefendatenregistrierung von rotationssymmetrischen Objekten (bibtex)
by Martin Kampel
Abstract:
The aim of the master thesis is to develop an algorithm for registration of two different views of rotationally symmetric objects. The method proposed uses the axis of rotation of the viewed objects to bring multiple range images into alignment. The task of the system is the construction of 3d models of archaeological finds.\\ After a general introduction the 3d acquisition technique used and the calibration of the acquisition system is explained. Then the estimation of the axis of rotation is presented. After an overview about existing registration techniques the registration method used is illustrated. Finally results of four different experiments show the accuracy of the demonstrated registration algorithm.
Reference:
Tiefendatenregistrierung von rotationssymmetrischen Objekten (Martin Kampel), Technical report, PRIP, TU Wien, 1999.
Bibtex Entry:
@TechReport{PTR-Kampel99a,
  author =	 "Martin Kampel",
  institution =	 "PRIP, TU Wien",
  number =	 "PRIP-TR-056",
  title =	 "Tiefendatenregistrierung von rotationssymmetrischen
                  {O}bjekten",
  year =	 "1999",
  url =		 "ftp://ftp.prip.tuwien.ac.at/pub/publications/trs/tr56.ps.gz",
  abstract =	 "The aim of the master thesis is to develop an
                  algorithm for registration of two different views of
                  rotationally symmetric objects. The method proposed
                  uses the axis of rotation of the viewed objects to
                  bring multiple range images into alignment. The task
                  of the system is the construction of 3d models of
                  archaeological finds.\\ After a general introduction
                  the 3d acquisition technique used and the
                  calibration of the acquisition system is
                  explained. Then the estimation of the axis of
                  rotation is presented. After an overview about
                  existing registration techniques the registration
                  method used is illustrated. Finally results of four
                  different experiments show the accuracy of the
                  demonstrated registration algorithm.",
}
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