An approach to effective 3D reconstruction based on point cloud merging

Abstract

In recent years due to the update of relevant graphical technologies acquiring of 3D reconstructed images from 2D views is getting attention exponentially. Many researchers have therefore tried to develop robust as well as efficient methods to reconstruct 3D models from images. In this paper, we have proposed a method for reconstructing 3D view from multiple images. This approach is based on images which are being taken by calibrated camera. According to the study first we have generated a 3D view from a pair of images which is applicable for other pairs also. Then we have merged the point clouds which has been achieved form the pairs using famous iterative point cloud algorithm in order to gain the final 3D reconstructed view. We have performed several experiments in order to calculate the consistency of the study. For this we have used several databases mostly achieved from Princeton university computer vision group.