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作 者:望晓尉 付仲良[1] WANG Xiaowei;FU Zhongliang(School of Remote Sensing Information Engineering,Wuhan University,Wuhan 430079,China)
机构地区:[1]武汉大学遥感信息工程学院,湖北武汉430079
出 处:《地理空间信息》2023年第2期97-102,共6页Geospatial Information
摘 要:基于倾斜摄影测量技术生成的实景三维模型近年来在国内得到了广泛应用,但针对倾斜摄影密集匹配点云的处理尚有很多问题亟待攻克,比如对点云较稀疏的三维网格模型的逆向点云生成处理的问题。为了解决这方面问题,提出了基于局部泰森插值进行实景三维模型点云析出及重构的方法。首先,研究了以OSGB格式作为原始数据的实景三维模型的数据结构和顶点构成方式;随后基于局部泰森插值算法对实景三维模型稀疏点云进行插值;接下来,通过算法对插值后的点云模型进行顶点重组和纹理坐标计算,并对该方法进行测试。实验证明,该方法可以取得较好的实景三维模型点云析出和纹理重构效果。The 3D model generated by oblique photogrammetry technology has been widely used in China in recent years. However, there are still many problems to be solved in the point cloud processing for oblique photogrammetry dense matching, such as the problem of reverse point cloud generation for 3D mesh model with sparse point cloud. In order to solve this problem, we proposed a point cloud precipitation and reconstruction method for real scene 3D model based on local Tyson interpolation. Firstly, we studied the data structure and vertex composition of real scene 3D model with OSGB format as the original data. And then, we interpolated the sparse point cloud of real scene 3D model based on the local Tyson interpolation algorithm. Finally, we carried out the vertex recombination and texture coordinate calculation for the point cloud model after interpolation, and tested the method. Experimental result shows that this method can obtain better effect of point cloud precipitation and texture reconstruction of real scene3D model.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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