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An efficient RGB-D camera based point cloud registration algorithm

机译:一种基于RGB-D摄像机的高效点云配准算法

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摘要

This paper proposes an indoor scene three-dimensional (3D) reconstruction system using pan-tilt platform and RGB-D camera. The proposed system can automatically reconstruct 3D indoor scenes on a fixed position. An efficient point cloud registration algorithm is proposed to align point clouds based on extrinsic parameters of the RGB-D camera from every presetted pan-tilt control points. Then, a local registration method is performed to refine the alignment result. Experimental results verify the quality and efficiency of the proposed point cloud alignment algorithm by comparing with a state-of-the-art method.
机译:本文提出了一种使用云台和RGB-D摄像机的室内场景三维(3D)重建系统。拟议的系统可以在固定位置自动重建3D室内场景。提出了一种有效的点云配准算法,该算法根据每个预置的云台控制点的RGB-D摄像机的外部参数对齐点云。然后,执行局部配准方法以细化对准结果。实验结果通过与最新方法进行比较,验证了所提出的点云对齐算法的质量和效率。

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