Radius selection method for point-based data integration in 3D model reconstruction from ladar range images

Lv Dan, Sun Jianfeng, Li Qi, Wang Qi
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Abstract

A method called local point density approach is presented for solving the difficulty of radius selection for point-based data integration in 3D model reconstruction by Ladar (laser radar) range images. After data integration, a set of points is properly selected for point density computing by setting the radius with different values. An optimal radius can be obtained when the variance of the point density is minimum. The algorithm is easy to adopt. The experimental results demonstrate the efficiency of the proposed approach.
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基于点数据集成的雷达距离图像三维模型重建的半径选择方法
针对激光雷达距离图像重建三维模型中基于点的数据集成中半径选择困难的问题,提出了一种局部点密度法。数据积分后,通过设置不同的半径值,选择合适的点集进行点密度计算。当点密度方差最小时,可以得到最优半径。该算法易于采用。实验结果证明了该方法的有效性。
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