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.