By Gilles Brassard, Anne Broadbent, Alain Tapp (auth.), Frank Dehne, Jörg-Rüdiger Sack, Michiel Smid (eds.)
This ebook constitutes the refereed lawsuits of the eighth foreign Workshop on Algorithms and information constructions, WADS 2003, held in Ottawa, Ontario, Canada, in July/August 2003.
The forty revised complete papers awarded including four invited papers have been conscientiously reviewed and chosen from 126 submissions. A vast number of present points in algorithmics and information buildings is addressed.
Read Online or Download Algorithms and Data Structures: 8th International Workshop, WADS 2003, Ottawa, Ontario, Canada, July 30 - August 1, 2003. Proceedings PDF
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Additional resources for Algorithms and Data Structures: 8th International Workshop, WADS 2003, Ottawa, Ontario, Canada, July 30 - August 1, 2003. Proceedings
Otherwise we call x a regular point. The following deﬁnition turns out to be very helpful in the subsequent discussion. It allows us to characterize the direction of steepest ascent of the distance function h at every point x ∈ Rd . Shape Segmentation and Matching with Flow Discretization 27 Driver. For any point x ∈ Rd let d(x) be the point in H(x) closest to x. We call d(x) the driver of x. We leave the proof of the following lemma for the full version of this paper. Lemma 1. For any regular point x ∈ Rd let d(x) be the driver of x.
Manuscript, 2001.  B. Chazelle. A theorem on polygon cutting with applications. Proc. 23rd IEEE Symp. FOCS, 1982, 339–349.  B. Chazelle, H. Edelsbrunner, M. J. Guibas, J. Hershberger, M. Sharir, J. Snoeyink. Ray shooting in polygons using geodesic triangulations. Algorithmica 12 (1994), 54–68.  H. R. Shah. Incremental topological ﬂipping works for regular triangulations. Algorithmica 15 (1996), 223–241.  S. Fortune. Voronoi diagrams and Delaunay triangulations. -Z. Du, F. Hwang (eds), Computing in Euclidean Geometry, Lecture Notes Series on Computing 4, World Scientiﬁc, 1995, 225–265.
Some examples are shown in Figure 4. Segment(P, ρ) 1 StableManifold(P ); 2 Merge all ρ-mergeable segments and output the resulting decomposition. Fig. 4. Segmentation of 2D and 3D models. In the leftmost picture of the ﬁrst row we zoom in the tail of the camel to show that the point sample is noisy as it is derived from the boundary extraction of a 2D image. The second row shows that the 3D models are segmented into so-called features. 5 Matching For shape matching we take advantage of our segmentation scheme by matching two shapes with respect to their features.
Algorithms and Data Structures: 8th International Workshop, WADS 2003, Ottawa, Ontario, Canada, July 30 - August 1, 2003. Proceedings by Gilles Brassard, Anne Broadbent, Alain Tapp (auth.), Frank Dehne, Jörg-Rüdiger Sack, Michiel Smid (eds.)