In this paper, we use 3D Reconstruction based on Stereovision and a lot of technologies, such as camera calibration, point cloud building, surface reconstruction, texture mapping and so on.
文中,采用了基于立体视觉的三维重建方法,对物体进行360°的图像采集,通过这些图像来重建模型,利用了相机定标,点云生成,模型重建,纹理映射等技术。
参考来源 - 基于立体视觉的三维重建·2,447,543篇论文数据，部分数据来源于NoteExpress
The second part is point cloud building, we use the method called PMVS.
第一部分是相机定标，文中采用有定标物的定标方法。
For the laser scanning data of a building fa? Ade, which is featured with huge amount of data and complex point cloud, it is difficult to extract building's feature information.
对于建筑物立面的激光扫描数据来说，具有数据量大，点云复杂等特点，提取建筑物特征信息具有一定难度。
Through point cloud data acquired from the building, the course of registration based ICP algorithm is provided.
通过建筑物三维激光扫描数据的采集，对基于ICP算法的点云数据配准过程进行了详细地分析。
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