Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5948
Title: Shape abstraction through multiple optimal solutions
Authors: Akimaliev M.
Demirci, Muhammed Fatih
Keywords: multiple optimal solutions
shape abstraction
transportation problem
Issue Date: 2011
Source: 7th International Symposium on Visual Computing, ISVC 2011, 26 September 2011 through 28 September 2011, Las Vegas, NV, 86781
Abstract: Shape abstraction is an important problem facing researchers in many fields such as pattern recognition, computer vision, and industrial design. Given a set of shapes, a recently developed shape abstraction framework generates an abstracted shape through the correspondences between their features. The correspondences are obtained based on the optimal solution of a well known transportation problem. Considering the case where multiple optimal solutions exist for one problem, this paper ranks all optimal solutions based on how much they preserve the local neighborhood relations and creates the abstracted shape using the solution with the highest rank. Experimental evaluation of the framework demonstrates that the proposed approach compares favorably with the previous shape abstraction technique. © 2011 Springer-Verlag.
URI: https://doi.org/10.1007/978-3-642-24031-7_59
https://hdl.handle.net/20.500.11851/5948
ISSN: 0302-9743
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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