Abstract: Current three-dimensional reconstruction algorithms of the computer vision field have limitations that they need to deploy and calibrate the cameras around the scene, or they need a structure light. Furthermore, these algorithms are not robust enough to every object. A new kind of four camera array reconstruction algorithms which properly combined the image registration algorithm and the camera array method was proposed to solve the robustness and limitation problems. It does not need calibration or structure light support. The experiments based on complex indoor sense with shadows demonstrate that this method is able to do dense point cloud reconstruction robustly and can overcome the shortcomings of current reconstruction algorithms.

Key words: computer vision, stereo vision, three-dimensional reconstruction, image registration, robustness, four camera array

摘要： 目前计算机视觉三维重建方法因需布置和标定摄像机环形拍摄场或者需要结构光而存在应用局限性问题，且算法不稳定。为此提出一种将摄像机阵列和图像配准有机结合的4目阵列重建算法，该算法不需要结构光和现场标定摄像机。经过基于包含光照和阴影的复杂室内仿真图像的实验表明，该方法能稳定有效地进行密集点云重建，且能克服现有重建方法的应用局限性与不稳定等缺陷。

关键词: 计算机视觉, 立体视觉, 三维重建, 图像配准, 稳定性, 4目阵列