Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1146
Title: 2D and 3D shape retrieval using skeleton filling rate
Authors: Şirin, Yahya
Demirci, Muhammed Fatih
143569
Keywords: Shape Recognition
Shape Retrieval
Earth Mover'S Distance
2D And 3D Skeleton
Issue Date: Mar-2017
Publisher: Springer
Source: Sirin, Y., & Demirci, M. F. (2017). 2D and 3D shape retrieval using skeleton filling rate. Multimedia Tools and Applications, 76(6), 7823-7848.
Abstract: As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based algorithm for 2D and 3D shape retrieval. The algorithm starts by drawing circles (spheres for 3D) of increasing radius around skeletons. Since each skeleton corresponds to the center of a maximally inscribed circle (sphere), this process results in circles (spheres) that are partially inside the shape. Computing the ratio between pixels that lie within the shape and the total number of pixels allows us to distinguish shapes with similar skeletons. Experimental evaluation of the proposed approach including a comprehensive comparison with the previous techniques demonstrates both effectiveness and robustness of our algorithm for shape retrieval using several 2D and 3D datasets.
URI: https://link.springer.com/article/10.1007%2Fs11042-016-3422-2
https://hdl.handle.net/20.500.11851/1146
ISSN: 1380-7501
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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