JOURNAL ARTICLE

Automatic registration of multi-view 3D laser point cloud based on image registration and ameliorated ICP Algorithm

Ziming ZhaoXiangyang HaoSong ZhaoYintai Su

Year: 2011 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 8192 Pages: 819235-819235   Publisher: SPIE

Abstract

In the process of the registration of multi-view point cloud, it's difficult to extract the feature points at present. In view of this condition, the article advances a new automatic registration method of multi-view point cloud based on Image Registration and ICP Algorithm. After the registration of point cloud and corresponding image, the feather can be extracted from the image that has plenty of textures compared with the point cloud. And it's beneficial to improve the precision and efficiency for the next registration. The experimental results demonstrate that the new method guarantees accurate fine registration.

Keywords:
Point cloud Computer science Image registration Computer vision Artificial intelligence Process (computing) Cloud computing Iterative closest point Point (geometry) Feature (linguistics) Image (mathematics) Mathematics

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Topics

Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Optical Systems and Laser Technology
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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