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Machine Vision Based 3D Scanning System

机译:基于机器视觉的3D扫描系统

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摘要

This study presents a low-cost scanning system for acquiring 3D geometry and texture information of large objects and for performing multi-scanning patch registration to obtain a whole realistic 3D model. The proposed system is composed of a line-stripe laser and a color CCD camera. The scanning processes consist of three steps. In the first step, the 3D depth information of the scanned object is obtained by laser triangulation. Subsequently, the texture of the scanned object is obtained by using a color CCd camera. In the final step, multiple scan patches are registered together to merge into a complete vivid 3D model. This study presents standard off-the-shelf hardware and software framework to implement a 3D measuring system. Experiments on the proposed method yielded very good results, for example, we constructed a big fortune cat model from the sixteen multi-scanned patches.
机译:这项研究提出了一种低成本的扫描系统,该系统可获取大型物体的3D几何形状和纹理信息,并执行多次扫描补丁配准以获得完整的逼真的3D模型。拟议的系统由线条纹激光器和彩色CCD相机组成。扫描过程包括三个步骤。在第一步中,通过激光三角测量获得扫描对象的3D深度信息。随后,通过使用彩色CCd相机获得扫描对象的纹理。在最后一步中,将多个扫描补丁注册在一起,以合并成一个完整的生动3D模型。这项研究提出了用于实施3D测量系统的标准现成的硬件和软件框架。该方法的实验取得了很好的效果,例如,我们从16个多次扫描的补丁中构建了一个大型的“幸运猫”模型。

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