Considering the scale transformation and the influence of rotation angle among image feature point extraction process, to improve the low efficiency and poor stability, an improved srbicp algorithm which combined ORB ...
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ISBN:
(纸本)9781450372589
Considering the scale transformation and the influence of rotation angle among image feature point extraction process, to improve the low efficiency and poor stability, an improved srbicp algorithm which combined ORB and ICP algorithm is proposed and applied to register the point cloud, Based on this method, the boundary of the scale matrix is considered and the rotation angle constraint is added. The point cloud registration model is optimized by considering some factors such as matrix, dynamic iteration coefficient, and annealing coefficient. Benefit from the Ubuntu operating system which is based on the open source GNU/Linux system, the simulation experiments are carried out. The experimental results show that the improved algorithm performs better on the registration accuracy as about 40% when being compared with the traditional ICP algorithm, and the registration speed is increased as about 60%.
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