3D image reconstruction: Techniques, applications and challenges

Abstract

Image Reconstruction is generally an inverse problem, which helps to recover the original ideal image from its given bad version, such as one that is snowed by noise, blurred by atmospheric turbulence or that has some regions damaged. Image reconstruction techniques are used to create 3D images from sets of various projections. The task of generating fast and accurate 3D image reconstruction has found its application in the field of computer vision like robotics, entertainment, reverse engineering, augmented reality, human computer interaction and animation. This paper deals with detailed study on different methods and evaluation technique used in 3D image reconstructions like visualization technique, triangulation method, multiple kinect capturing system, handling photometric stereo and shadowing information in handling patches. Finally several recommendations on future study have been recommended based on recent issues like reconstructing geometrical shadow region, handling self shadow, shiny object, non-Iambatian surface, occlusion, reconstruction without the use of sensors like Global Positioning System (GPS) and Inertial Navigation System (INS).