Asphalt Pavement Texture 3D Reconstruction Based on Binocular Vision System with SIFT Algorithm
Maoping Ran, Shenqing Xiao, Xinglin Zhou, Wangxin Xiao · 2017 International Conference on Smart Grid and Electrical Automation (ICSGEA) · 2017
Collecting 3D micro-texture of asphalt pavement is the key work of studying the constitutive relationship between asphalt pavement micro-texture and pavement performance. Due to affine characteristics of asphalt pavement micro-texture, it is very difficult to obtain 3D micro-texture quickly and accurately. The paper provided a 3D reconstruction method for asphalt pavement by establishing 3D mathematical measuring model of binocular vision. The camera interior and exterior parameters was obtained by camera calibration, Homograph H was calculated by feature points extraction and matching with the help of SIFT algorithm, then realized area-points matching, finally the asphalt pavement micro-texture 3D image reconstruction was achieved based on the parameters and area-point coordinates. The reconstruction results show that using binocular vision method to extract the 3D image micro-texture is feasible and rapid, it is potential to acquire a large area 3D reconstruction of asphalt pavement micro-texture with the help of homograph.