Study of Base Segmenting Algorithm of Substation Equipment Based on 3D Point Cloud
Segmenting affiliated facilities from the point cloud is the key of 3D identification of the equipment.
This paper proposes a method to segment an equipment’s base from the equipment according to the change trend of the horizontally-projected areas of the layers formed by layering the equipment, thereby reducing the workload of manual segmentation of the base and improving the efficiency of intelligent identification of substation equipment. At the same time, the paper improves Iterative Closest Point (ICP) algorithm by using ICP error to jump out early of the iteration process of ICP, to reduce the iteration steps and shorten the matching time.
The experimental results show that the identification rate of substation equipment is greatly improved by the base segmenting algorithm.
The improved ICP algorithm significantly shortens the identification time, and has little impact on the identification rate.
KeywordsPoint cloud Base segmenting 3D identification ICP Substation equipment
This work was supported by Industry-Uni.-Research Collaboration Project of Henan province (Grant no. 152107000058), Young Teacher Foundation of Henan province (Grant no. 2015GGJS-148), and the Science and Technology Key Project of Henan province (Grant no. 152102210036).
- 2.Baek H, Chung Y, et al (2017) Segmentation of group-housed pigs using concave points and edge information. In: International conference on advanced communication technology IEEE, pp 563–565Google Scholar
- 6.Zhang Z, Li Y, Wang J (2016) LiDAR point cloud registration based on improved ICP method and SIFT feature. In: IEEE international conference on progress in informatics and computing IEEE, pp 588–592Google Scholar
- 9.Zhengge H, Chen J et al (2009) Triangulated irregular network based chunk gridding algorithm for terrain rendering. J Zhejiang Univ 43(10):1939–1944Google Scholar
- 16.Rusinkiewicz S, Levoy M (2002) Efficient variants of the ICP algorithm. International conference on 3-D Digital imaging and modeling, Quebec City, CanadaGoogle Scholar