Efficient Localization And Reconstruction Of 3D Objects Using The New Hybrid Squire Moment

Ouchker Rabab, Mohamed Amine Tahiri, Ahmed Bencherqui, H. Amakdouf, Mohamed Ouazzani Jamil, H. Qjidaa
{"title":"Efficient Localization And Reconstruction Of 3D Objects Using The New Hybrid Squire Moment","authors":"Ouchker Rabab, Mohamed Amine Tahiri, Ahmed Bencherqui, H. Amakdouf, Mohamed Ouazzani Jamil, H. Qjidaa","doi":"10.1109/ISCV54655.2022.9806086","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new method for 3D image reconstruction and localization. The latter is based on two concepts: the first is the use of a new hybrid squared polynomial called the Krawtchouk-Meixner Squared Polynomial (SKMP), which is based on two traditional polynomials, namely Meixner (MP) and Krawtchouk (KP). The second one is the cubic representation of the 3D image (ICR) to speed up the process of computing the new discrete orthogonal moments and improve the performance of reconstruction and localization of 3D images. The simulation results confirm the 3D image reconstruction and localization capability using the proposed approach.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCV54655.2022.9806086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we present a new method for 3D image reconstruction and localization. The latter is based on two concepts: the first is the use of a new hybrid squared polynomial called the Krawtchouk-Meixner Squared Polynomial (SKMP), which is based on two traditional polynomials, namely Meixner (MP) and Krawtchouk (KP). The second one is the cubic representation of the 3D image (ICR) to speed up the process of computing the new discrete orthogonal moments and improve the performance of reconstruction and localization of 3D images. The simulation results confirm the 3D image reconstruction and localization capability using the proposed approach.
使用新的混合Squire力矩的3D对象的有效定位和重建
本文提出了一种新的三维图像重建和定位方法。后者基于两个概念:第一个是使用一种新的混合平方多项式,称为Krawtchouk-Meixner平方多项式(SKMP),它基于两个传统多项式,即Meixner (MP)和Krawtchouk (KP)。二是三维图像的三次表示(ICR),以加快新的离散正交矩的计算过程,提高三维图像的重建和定位性能。仿真结果验证了该方法的三维图像重建和定位能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信