The Study of Laser Scanning Point Cloud Data Automatic and High-Precision Mosaics Technology

Li Jian; Feng Jiao Zheng; Yu Rong Ma

doi:10.4028/www.scientific.net/AMR.926-930.3418

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930The Study of Laser Scanning Point Cloud Data...

The Study of Laser Scanning Point Cloud Data Automatic and High-Precision Mosaics Technology

Abstract:

This paper has proposed a laser scanning point cloud mosaic scheme on the basis of 2D images matching and 3D correspondence feature points refining. This scheme is aimed to solve existing problems in laser scanning point cloud mosaic technology, such as low efficiency,poor accuracy and low automation. Firstly, the 2D images were generated from the derivative information by an interpolation algorithm. Then 2D correspondence feature points were obtained through GPU acceleration SIFT image matching and eliminates gross errors. In order to improve the accuracy of mosaic,the correspondence feature points must be refined through further constraint. Secondly, the 3D correspondence feature points were acquired based on an inversion algorithm using the 2D correspondence feature points.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3418-3421

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3418

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Online since:

May 2014

Authors:

Li Jian, Feng Jiao Zheng, Yu Rong Ma*

Keywords:

2D-3D Automatic Mosaic, Derived Information of Laser Point Cloud, Mosaic of Point Cloud Data, Refine of 3D Feature Points, Terrestrial Laser

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* - Corresponding Author

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