3D model retrieval using MeshSIFT descriptor and fuzzy C-means clustering
A huge number of three-dimensional models exists on the internet, due to the fact that there are now more three-dimensional modelling and digitizing tools available for ever-increasing applications. The procedures for retrieval of three-dimensional models have thus become even more essential. The su...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2020-09-01.
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| Online Access: | Get fulltext |
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| LEADER | 02180 am a22003133u 4500 | ||
|---|---|---|---|
| 001 | ijeecs20811_14131 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Hamza, Najlaa Abd |e author |
| 100 | 1 | 0 | |q (Najlaa Abd Hamza, College of Nursing, University of Baghdad) |e contributor |
| 700 | 1 | 0 | |a Jafer, Shatha Habeeb |e author |
| 700 | 1 | 0 | |a Hadi, Raghad Mohammed |e author |
| 245 | 0 | 0 | |a 3D model retrieval using MeshSIFT descriptor and fuzzy C-means clustering |
| 260 | |b Institute of Advanced Engineering and Science, |c 2020-09-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20811 | ||
| 520 | |a A huge number of three-dimensional models exists on the internet, due to the fact that there are now more three-dimensional modelling and digitizing tools available for ever-increasing applications. The procedures for retrieval of three-dimensional models have thus become even more essential. The subject of this paper is a shape retrieval of 3D models that are signified as triangle meshes. We propose a new method which first computes the descriptor of 3D models through extracting its features, and then divides a model into clusters depending on a descriptor which is invariant to scale and orientation. A Fuzzy C-means clustering method is utilized for dividing the model into clusters. The superior performance and benefits of our method are shown in the results. | ||
| 540 | |a Copyright (c) 2020 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Computer Science | ||
| 690 | |a 3D Model Retrieval; Fuzzy C-Means Clustering; Feature Descriptor | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 19, No 3: September 2020; 1452-1460 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v19.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20811/14131 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20811/14131 |z Get fulltext |