Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1971
Title: 3D Shape Recognition: Enhanced Skeletal Points
Other Titles: 3B Şekil Tanıma: Zenginleştirilmiş İskelet Noktaları
Authors: Şirin, Yahya
Demirci, Muhammed Fatih
143569
Keywords: Shape recognition
Shape representation
Earth Mover's Distance
Issue Date: 2015
Publisher: IEEE
Source: Şirin, Y., & Demirci, M. F. (2015, May). 3D shape recognition: Enhanced skeletal points. In 2015 23rd Signal Processing and Communications Applications Conference (SIU) (pp. 2009-2012). IEEE.
Abstract: Digital video production is increasing day after day and the effectiveness and efficiency of the image recognition mechanism has became increasingly important. In this study, a new skeleton-based shape recognition algorithm, which is generated by drawing spheres with increasing radii around the skeleton, is presented. After this operation, drawn spheres partially remain the inside of shapes because each frame corresponds to the center of a maximum tangent sphere. The ratio between number of pixels of the drawn sphere that is remaining in the shape, and the total number of pixels of the drawn sphere is used to identify skeleton similarities and shapes. The experimental evaluation of a comparison with previous techniques and an approach that suggested to show the effectiveness and reliability of the operation is presented.
Description: 23rd Signal Processing and Communications Applications Conference (SIU) (2015 : Malatya, TURKEY)
URI: https://ieeexplore.ieee.org/document/7130259
https://hdl.handle.net/20.500.11851/1971
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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