Fast automatic registration of range images from 3D imaging systems using sphere targets

被引:54
作者
Franaszek, Marek [1 ]
Cheok, Geraldine S. [1 ]
Witzgall, Christoph [2 ]
机构
[1] NIST, Construct Metrol & Automat Grp, Gaithersburg, MD 20899 USA
[2] NIST, Math & Computat Sci Div, Gaithersburg, MD 20899 USA
关键词
3D imaging system; Automated object recognition; Sphere fitting; Target-based registration; CIRCLE; SEGMENTATION; PRIMITIVES;
D O I
10.1016/j.autcon.2008.08.003
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The use of 3D imaging systems (e.g., laser scanners) in construction has grown significantly in the past decade. Range images acquired with such systems often require registration. This paper describes an automatic method to rapidly locate spheres and perform a registration based on three pairs of matching points (centers of fitted spheres) in two range images. The proposed method is directly applicable for regularly gridded datasets obtained with instruments that are typically used for construction applications and whose maximum ranges are greater than 50 m. A lab was scanned from two locations at three different scan densities. Four spheres were located in the lab, and the total number of points hitting the four spheres was a small fraction (<0.01%) of all the points in the dataset. At the highest scan density, the registration of two datasets with 6.4 x 10(6) and 3.4 x 10(6) points is obtained in less than 30 s. At the medium scan density, two range images with 1.6 x 10(6) and 0.8 x 10(6) points can be registered in less than 2 s. Published by Elsevier BY.
引用
收藏
页码:265 / 274
页数:10
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