A Volumetric Fusing Method for TLS and SFM Point Clouds

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 out...

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Bibliographic Details
Published in:IEEE journal of selected topics in applied earth observations and remote sensing 2018-09, Vol.11 (9), p.3349-3357
Main Authors: Li, Wei, Wang, Cheng, Zai, Dawei, Huang, Pengdi, Liu, Weiquan, Wen, Chenglu, Li, Jonathan
Format: Article
Language:English
Subjects:
Alignment
Blending
Boundary constraints
Deformation
Density stratification
graph cuts (GC)
Image reconstruction
Laser fusion
Laser radar
Lasers
Mathematical models
Methods
Migration
Occlusion
progressive migration
Redundancy
Software
Solid modeling
Stratification
Terrestrial environments
Three dimensional models
Three-dimensional displays
Vectors
volumetric fusion
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Summary: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.
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2018.2856900