Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1970
Title: Skeleton Branch Distances for Shape Recognition
Other Titles: Şekil Sınıflandırma için İskelet Ayrım Mesafeleri
Authors: Bölük, S. Arda
Demirci, Muhammed Fatih
143569
Keywords: Shape retrieval
shape matching
medial axis graph
Earth Mover's Distance
Issue Date: 2015
Publisher: IEEE
Source: Bölük, S. A., & Demirci, M. F. (2015, May). Skeleton branch distances for shape recognition. In 2015 23nd Signal Processing and Communications Applications Conference (SIU) (pp. 552-555). IEEE.
Abstract: In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances between each node and all of the branch nodes in the graph. Then similarity rates between these distributions is found by using a transportation-based distance function. At last, we compared our results with results of similar works conducted in the past.
Description: 23nd Signal Processing and Communications Applications Conference (SIU) (2015 : Malatya, TURKEY)
URI: https://ieeexplore.ieee.org/document/7129883
https://hdl.handle.net/20.500.11851/1970
ISBN: 978-1-4673-7386-9
ISSN: 2165-0608
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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