使用新的混合Squire力矩的3D对象的有效定位和重建

2022 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2022-05-18 DOI:10.1109/ISCV54655.2022.9806086

Ouchker Rabab, Mohamed Amine Tahiri, Ahmed Bencherqui, H. Amakdouf, Mohamed Ouazzani Jamil, H. Qjidaa

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引用次数: 0

摘要

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。

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

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.

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2022 International Conference on Intelligent Systems and Computer Vision (ISCV)

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