A novel approach to automatic registration of point clouds

IGARSS(2007)

引用 12|浏览14
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摘要
For the 3D reconstruction inside historic buildings, we need a marker-free automatic registration approach to align different views together, because GPS does not work indoors and markers are not allowed to paste on the walls. This paper presents an automatic matching process, which employs a novel algorithm, Dynamic Matching Tree technique, for a fast and stable coarse-matching to achieve the automatic pre-alignment of two point clouds and uses modified ICP to do a fine matching efficiently. The whole process can be divided in the following stages: preprocessing, 2-View matching and N-View matching. To validate our method, various experiments has been done on reconstruction of historic sites and industrial objects.
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关键词
geophysical techniques,range image registration,image matching,dynamic matching tree,segmentation and analysis,image segmentation,n-view matching,independent component analysis,industrial objects,image reconstruction,point cloud alignment,historic buildings,geophysical signal processing,3d reconstruction,historic site reconstruction,point cloud registration,image registration,stereo image processing,marker-free automatic registration,point cloud,aerodynamics,mechatronics,skeleton,global positioning system
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