基于激光反射率的点云与图像自动融合

摘要

提出一个基于激光反射率的点云图像自动融合算法,数字图像与点云反射率图像特征点匹配,得到数字图像特征点像点坐标和相应物点物方空间坐标对,采用直接线性变换算法(DLT)建立点云数据反投影至二维图像点的投影模型,实现点云图像自动融合,得到目标表面的全面信息,包括物体表面三维坐标和纹理信息.自动地实现点云图像融合,无需人工参与,提高效率和准确率,同时结合实验验证该算法的可行性.%This paper proposes an auto-fusion algorithm of point clouds and image based on laser reflectance.The physical spacial coordination of the image points is obtained in the way of digital image with the point clouds reflectance image feature matching.A re-projection model of point clouds to image points based on DLT can compute object surface 3D space coordinates and RGB.Without artificial participation,efficiently and accurately,the method implements automatically.Experimental result demonstrates the feasibility of the algorithm.