Abstract The use of light encoding techniques is widespread in the field of 3D surface reconstruction. This paper presents a stereo-camera calibration methodology, which integrates structured light encoding with an active digital device. The structured light encoding approach is proposed to unambiguously solve the stereo matching issue for stereo-camera setups. A sequence of vertical and horizontal binary striped patterns, combined with a checkerboard pattern, is displayed by a high-resolution LCD screen, which is used as calibration board. A bundle adjustment technique is adopted to simultaneously adjust both camera parameters and screen geometry, as part of the stereo-camera calibration process, thus taking into account the possible inaccuracies of the digital display. The same structured light approach, with small variants, is projected by a multimedia digital projector to carry out 3D surface reconstruction. The proposed methodology defines a comprehensive framework for the development of a 3D optical scanner, from calibration to 3D acquisition, which has been validated by measuring primitive surfaces and reconstructing free-form shapes with different stereo-camera setups.

中文翻译：

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有源设备的 3D 采集和立体相机校准：一种独特的结构光编码框架

摘要 光编码技术在 3D 表面重建领域得到广泛应用。本文提出了一种立体相机校准方法，该方法将结构光编码与有源数字设备集成在一起。提出了结构光编码方法来明确解决立体相机设置的立体匹配问题。一系列垂直和水平二进制条纹图案，结合棋盘图案，由高分辨率 LCD 屏幕显示，用作校准板。作为立体相机校准过程的一部分，采用束调整技术同时调整相机参数和屏幕几何形状，从而考虑到数字显示可能存在的不准确性。相同的结构光方法，具有小的变体，由多媒体数字投影仪投影进行3D表面重建。所提出的方法定义了从校准到 3D 采集的 3D 光学扫描仪开发的综合框架，该框架已通过测量原始表面和使用不同立体相机设置重建自由形状的形状得到验证。