Last update: Nov. 6, 2002
Web-link at Harvard (Post-Doc work, 1995).
Publications by R. L. Ogniewicz et al. on shape symmetry elicitation :
BibTeX references.
R.L. Ogniewicz and O. Kübler
Pattern Recognition, vol. 28, no. 3, pp. 343-359, 1995.
Robust and time-efficient skeletonization of a (planar) shape, which is connectivity preserving and based on Euclidean metrics, can be achieved by first regularizing the Voronoi diagram (VD) of a shape's boundary points, i.e., by removal of noise-sensitive parts of the tessellation and then by establishing a hierarchic organization of skeleton constituents. Each component of the VD is attributed with a measure of prominence which exhibits the expected invariance under geometric transformations and noise. The second processing step, a hierarchic clustering of skeleton branches, leads to a multiresolution representation of the skeleton, termed skeleton pyramid.
R.L. Ogniewicz
Proc. Conf. on Computer Vision and Pattern Recognition,
Seattle, WA, pp. 746-751, June 1994.
R.L. Ogniewicz and M. Ilg
Proc. Conf. on Computer Vision and Pattern Recognition,
Champaign, Illinois, pp. 63-69, June 1992.
NB: Extension of the 1992 paper (below).
R.L. Ogniewicz and M. Ilg
Proc. of the 4th Int'l Symposium on Spatial Data Handling, vol. 1, pp. 15-24.
Zurich, Switzerland, June 1990.
O. Kubler, F. Klein, R. Ogniewicz and U. Kienholz
Progress in Image Analysis and Processing, pp. 340-347, World Scientific.
Positano, Italy, 1989.
Summary: Skeletons with Euclidean metric and correct topology derived from the Voronoi diagram of boundary points.
NB: An earlier version of this work is reported in a series of manuscripts, in German:
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2000-2.
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