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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 |
Keywords: | Shape retrieval shape matching medial axis graph Earth Mover's Distance |
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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