Polygon Partition into Stable Regions
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Facial feature location with Delaunay triangulation/Voronoi diagram calculation
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Skeletonization of Ribbon-Like Shapes Based on a New Wavelet Function
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Skeletonization based on error reduction
Pattern Recognition
Triangle refinement in a constrained Delaunay triangulation skeleton
Pattern Recognition
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Journal of Signal Processing Systems
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ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Ribbon-like skeletonization based on contour reconstrction on intersection regions
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Skeletonization based on high-level Markov random field
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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Computer Vision and Image Understanding
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Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Skeletonization of low-quality characters based on point cloud model
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part IV
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CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
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FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
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SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
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A major problem with traditional skeletonization algorithms is that their results do not always conform to human perceptions since they often contain unwanted artifacts. This paper presents an indirect skeletonization method to reduce these artifacts. The method is based on analyzing regularities and singularities of shapes. A shape is first partitioned into a set of triangles using the constrained Delaunay triangulation technique. Then, regular and singular regions of the shape are identified from the partitioning. Finally, singular regions are stabilized to produce a better result. Experiments show that skeletons obtained from the proposed method closely resemble human perceptions of the underlying shapes