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Titlebook: Computational Topology in Image Context; 4th International Wo Massimo Ferri,Patrizio Frosini,Barbara Fabio Conference proceedings 2012 Spri

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書目名稱Computational Topology in Image Context
副標(biāo)題4th International Wo
編輯Massimo Ferri,Patrizio Frosini,Barbara Fabio
視頻videohttp://file.papertrans.cn/234/233197/233197.mp4
概述Up-to-date results.Fast-track conference proceedings.State-of-the-art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Topology in Image Context; 4th International Wo Massimo Ferri,Patrizio Frosini,Barbara Fabio Conference proceedings 2012 Spri
描述This book constitutes the proceedings of the 4th International Workshop on Computational Topology in Image Context, CTIC 2012, held in Bertinoro, Italy, in May 2012. The 16 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They focus on the topology and computation in image context. The workshop is devoted to computational methods using topology for the analysis and comparison of images. The involved research fields comprise computational topology and geometry, discrete topology and geometry, geometrical modeling, algebraic topology for image applications, and any other field involving a geometric-topological approach to image processing.
出版日期Conference proceedings 2012
關(guān)鍵詞discrete curvature; generalized maps; geometric modeling; reduction algorithms; triangulated surfaces; al
版次1
doihttps://doi.org/10.1007/978-3-642-30238-1
isbn_softcover978-3-642-30237-4
isbn_ebook978-3-642-30238-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2012
The information of publication is updating

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Deletion of (26,6)-Simple Points as Multivalued Retractions,ows to define topological notions, like retractions, in a far more realistic way than by using just single-valued digitally continuous functions. In particular, we have characterized the deletion of simple points in 2-D, one of the most important processing operations in digital topology, as a parti
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Triangle Mesh Compression and Homological Spanning Forests,e a huge amount of resources when they are stored, processed or transmitted. Therefore, many algorithms proposing an efficient compression of these meshes have been developed since the early 1990s. In this paper we propose a lossless method that compresses the connectivity of the mesh by using a val
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Homology Computations via Acyclic Subspace,ocess large simplicial complexes. In this paper we present the acyclic subspace reduction algorithm adapted to simplicial complexes. It provides fast and memory efficient preprocessing of the given data. A variant of the method for distributed computations is also presented. As a result, Betti numbe
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