Objects Reconstruction Oriented to Indoor Scene Point Cloud

doi:10.13474/j.cnki.11-2246.2017.0187

Abstract

Abstract: 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.

Key words: indoor scene point cloud processing technology, point cloud segmentation, 3D reconstruction

CLC Number:

P208

YANG Zexin, CHENG Xiaojun, DING Qiong, CHENG Xiaolong. Objects Reconstruction Oriented to Indoor Scene Point Cloud[J]. 测绘通报, 2017, 0(6): 45-48,93.

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