面向室内场景点云的对象重建

针对当前逆向工程中对象提取及模型重建效率较低的问题,提出了一种面向室内场景点云的对象重建方法。首先构建直通滤波器,采用改进的RANSAC算法剔除非对象点云,然后根据欧氏聚类提取算法分割出各个对象点云,最后基于α-shape理论批量重建出对象模型。试验结果表明,该方法能够从散乱的室内场景点云中快速、自动地重建出代表真实对象的三维模型,具有较高的实用价值。

Objects Reconstruction Oriented to Indoor Scene Point Cloud

This paper presents an algorithm of reconstructing objects from indoor scene point cloud for solving the low efficiency problem of object extraction and reconstruction in reverse engineering.The steps of this approach are as follows: firstly, the non-object clouds are removed by using pass-through filter and the improved RANSAC algorithm;then the object clouds are segmented according to Euclidean Cluster Extraction algorithm;finally, the object models are reconstructed based on the α-shape theory.The experimental result shows that the proposed method, which is of high practical value, can quickly and automatically reconstruct the 3D models representing real objects from unorganized indoor scene point clouds.