1. The Study of Laser Scanning Point Cloud Data Automatic and High-Precision Mosaics Technology
- Author
-
Feng Jiao Zheng, Yu Rong Ma, and Li Jian
- Subjects
Laser scanning ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,General Engineering ,Point cloud ,Scale-invariant feature transform ,Computer vision ,Artificial intelligence ,business ,Interpolation - 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.
- Published
- 2014