A Weight Vector Feature for 3D Shape Matching

Yingliang Lu, Kunihiko Kaneko, Akifumi Makinouchi

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.

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Paper Citation


in Bibtex Style

@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},
}


in Harvard Style

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


in EndNote Style

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