The Non-rigid 3D Shape Descriptors Analysis

DOI

10.2991/meees-18.2018.24How to use a DOI?

Keywords

shape descriptors; point signatures; principle component analysis; shape retrieval.

Abstract

For 3D shape descriptors, an effective and efficient feature is the key to popularize its applications in 3D domain where the major challenge lies in designing an effective high-level feature. the strategy of exploring these characteristics is the core of extracting effective 3D shape features. In this paper, we propose a 3D shape descriptor using principle component analysis of obtained point signatures which makes different shape descriptors and obtain the better shape descriptors by comparison. Then we use shape retrieval to examine obtained shape descriptors.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Meizhen Liu
AU  - Chunmei Duan
PY  - 2018/05
DA  - 2018/05
TI  - The Non-rigid 3D Shape Descriptors Analysis
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 129
EP  - 132
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.24
DO  - 10.2991/meees-18.2018.24
ID  - Liu2018/05
ER  -