RECONSTRUCTION OF 3D SURFACE FROM 2D IMAGES USING FIVE LIGHTING SOURCES

摘要

This paper proposes a novel method for reconstructing and acquiring 3D geometry information on an inspected surface based on 2D images. In this research, multiple light sources and a single camera setup are used to capture several 2D images in order to reconstruct a 3D surface model. The approach consists of two major stages to obtain the 3D geometry information: (1) the shade of the images will be used to get the surface gradient which will finally be used to construct the surface gradient map, and (2) the shadow of the object will be approximated in order to reconstruct the step height (edge) of the object.