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Authors: Yingliang Lu 1 ; Kunihiko Kaneko 1 and Akifumi Makinouchi 2

Affiliations: 1 Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan ; 2 Kurume Institute of Technology, Japan

ISBN: 978-972-8865-93-1

Abstract: In the present paper, we introduce a novel segment weight vector to matching 3D objects rapidly. We split a 3D object into parts according to its topology, and make up the extracted the thickness feature of each part as a feature vector of the 3D object. Furthermore, we present a new solution for improving the accuracy of the similarity queries. Since the proposed method is based on partial features, it is particularly suited to searching objects having distinct part structures and is invariant to part architecture.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lu, Y.; Kaneko, K. and Makinouchi, A. (2007). A Weight Vector Feature for 3D Shape Matching. In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007) ISBN 978-972-8865-93-1, pages 69-78. DOI: 10.5220/0002414700690078

@conference{pris07,
author={Yingliang Lu. and Kunihiko Kaneko. and Akifumi Makinouchi.},
title={A Weight Vector Feature for 3D Shape Matching},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)},
year={2007},
pages={69-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002414700690078},
isbn={978-972-8865-93-1},
}

TY - CONF

JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)
TI - A Weight Vector Feature for 3D Shape Matching
SN - 978-972-8865-93-1
AU - Lu, Y.
AU - Kaneko, K.
AU - Makinouchi, A.
PY - 2007
SP - 69
EP - 78
DO - 10.5220/0002414700690078

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