3D Laser Imaging

摘要

This paper addresses 3D laser imaging. 3D active imaging or 3D laser imaging has been greatly improved with the development of highly sensitive, high pixel density cameras. In this paper, we develop a 3D laser imaging method using tomographic algorithm. We obtain the three-dimensional reconstruction by a cone-beam algorithm [1], which is a convolution back-projection algorithm deduced from the Radon transform. This algorithm uses a set of two-dimensional projections which contain the data collected by the pixels of a focal plane area. These data are related to the intensity backscattered by the scene illuminated by a laser pulse. The scattered intensity contains the information for the 3D reconstruction. This process allows the reconstruction of a 3D scene from a series of images parameterized by an angle of axial rotation. In this paper, we study the robustness of this algorithm. To analyze the 3D reconstruction algorithm, we give experimental proof of the theory. We develop a 3D imaging experiment based upon a two-dimensional imaging device with high pixel density in the visible band.