fast registration method for point clouds using the image information

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ID: 148266
2016
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Abstract
On the existing laser scanners, there usually is a coaxial camera, which could capture images in the scanning site. For the laser scanners with a coaxial camera, we propose a fast registration method using the image information. Unlike the traditional registration methods that computing the rotation and translation simultaneously, our method calculates them individually. The rotation transformation between the point clouds is obtained by the knowledge of the vision geometry and the image information, while their translation is acquired by our improved ICP algorithm. In the improved ICP algorithm, only the translation vector is updated iteratively, whose input is the point clouds that removing the rotation transformation. Experimental results show that the rotation matrix obtained by the images has a high accuracy. In addition, compared with the traditional ICP algorithm, our algorithm converges faster and is easier to fall into the global optimum.
Reference Key
ruiyan2016actafast Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;WANG Ruiyan;JIANG Guang;GAO Quanxue
Journal Phytochemistry
Year 2016
DOI
10.11947/j.AGCS.2016.20140627
URL
http://html.rhhz.net/CHXB/html/2016-1-96.htm
Keywords
cartography icp algorithmmathematical geography

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