A Volumetric Fusing Method for TLS and SFM Point Clouds

被引:11
|
作者
Li, Wei [1 ]
Wang, Cheng [1 ]
Zai, Dawei [1 ]
Huang, Pengdi [1 ]
Liu, Weiquan [1 ]
Wen, Chenglu [1 ]
Li, Jonathan [1 ,2 ]
机构
[1] Xiamen Univ, Sch Informat Sci & Engn, Fujian Key Lab Sensing & Comp Smart Cities, Xiamen 361005, Peoples R China
[2] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada
关键词
Boundary constraints; graph cuts (GC); progressive migration; volumetric fusion; LINE SEGMENT EXTRACTION; AERIAL; MODELS;
D O I
10.1109/JSTARS.2018.2856900
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A terrestrial laser scanning (TLS) point cloud acquired from a given ground view is incomplete because of severe occlusion and self-occlusion. The models reconstructed by aligning the cross-source point clouds [TLS and structure-from-motion (SFM) point clouds] provide a more complete large-scale outdoor scene. However, because of differences in nonrigid deformation, stratified redundancy of alignment is inevitable and ubiquitous. Therefore, this paper presents a volumetric fusing method for cross-source three-dimensional reconstructions. To eliminate the stratification of aligned cross-source point clouds, we propose a graph-cuts method with boundary constraints for blending the two cross-source point clouds. Then, to reduce the gaps that exist in the blending results, we develop a progressive migration method combined with the local average direction of normal vectors to smooth the unconnected boundary. Finally, experimental results demonstrate the effectiveness of eliminating stratification with the proposed blending algorithm, and the progressive migration method achieves a smooth connection in the boundary of the blended point clouds.
引用
收藏
页码:3349 / 3357
页数:9
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