Journal ArticleDOI
Study of Base Segmenting Algorithm of Substation Equipment Based on 3D Point Cloud
Reads0
Chats0
TLDR
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.Abstract:
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.read more
Citations
More filters
Journal Article
Feature preserving point cloud simplification
TL;DR: The proposed feature preserving point cloud simplification method obtains the smallest simplification error and preserves original geometric features well and generates sparse sampling points in flat areas and high density points in high curvature regions.
Journal ArticleDOI
3D point cloud recognition of substation equipment based on plane detection
Q. Yuan,Yong Luo,Heshan Wang +2 more
TL;DR: Wang et al. as discussed by the authors proposed a method combining plane detection and point cloud registration algorithm, achieving substation equipment identification better result, which includes point cloud preprocessing, plane detecting, preliminary filtering based on Umeyama registration method, and Iterative Closest Point (ICP) algorithm identifying.
References
More filters
Journal ArticleDOI
A method for registration of 3-D shapes
Paul J. Besl,H.D. McKay +1 more
TL;DR: In this paper, the authors describe a general-purpose representation-independent method for the accurate and computationally efficient registration of 3D shapes including free-form curves and surfaces, based on the iterative closest point (ICP) algorithm, which requires only a procedure to find the closest point on a geometric entity to a given point.
Journal ArticleDOI
Object modelling by registration of multiple range images
Yang Chen,Gerard Medioni +1 more
TL;DR: A new approach is proposed which works on range data directly and registers successive views with enough overlapping area to get an accurate transformation between views and is performed by minimizing a functional which does not require point-to-point matches.
Journal ArticleDOI
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
TL;DR: This paper presents the first globally optimal algorithm, named Go-ICP, for Euclidean (rigid) registration of two 3D point-sets under the inline-formula notation, and derives novel upper and lower bounds for the registration error function.
Journal ArticleDOI
Towards a general multi-view registration technique
TL;DR: An algorithm is presented that reduces significantly the level of the registration errors between all pairs in a set of range views and improves the calibrated registrations and the quality of the integrated model for complex multi-part objects.
Journal ArticleDOI
A Methodology for Automated Segmentation and Reconstruction of Urban 3-D Buildings from ALS Point Clouds
TL;DR: The proposed method avoids abnormal and/or infinite solutions which are typically encountered in previously published methods that use the rooftop primitive adjacency matrix to solve the critical rooftop vertices, and it can produce watertight 3-D polyhedral building models.