Volumetric 3D reconstruction of real objects using voxel mapping approach in a multiple-camera environment

Abstract

: Extracting 3D information from 2D images is an inverse estimation problem and a challenging task initself. The aim of 2D to 3D reconstruction is to generate either a volume or a surface representing the object frommultiple views. This paper presents a simple and accurate multiple-view volumetric 3D reconstruction method usingan integrated approach based on homography estimation and voxel mapping. The homography-based approaches giveaccurate estimates but do not provide system dynamics. The voxel-based volumetric reconstruction methods providesystem dynamics that are essential for system modeling. However, they face challenges while modeling the concavities.This paper presents a proposed 3D reconstruction method that combines homography estimation and the voxel mappingapproach for improving the accuracy of 3D reconstruction. Experimental results show that the method efficientlyreconstructs objects of known and unknown shape, fragile objects, and complex scenes with multiple objects. The useof homography along with voxel mapping in a multiple-camera environment brings out more details of the object forimproving the quality of reconstruction.