JOURNAL ARTICLE

Reconstruction of polygonal prisms from point-clouds of engineering facilities

Akisato ChidaHiroshi Masuda

Year: 2016 Journal:   Journal of Computational Design and Engineering Vol: 3 (4)Pages: 322-329   Publisher: Oxford University Press

Abstract

Abstract The advent of high-performance terrestrial laser scanners has made it possible to capture dense point-clouds of engineering facilities. 3D shape acquisition from engineering facilities is useful for supporting maintenance and repair tasks. In this paper, we discuss methods to reconstruct box shapes and polygonal prisms from large-scale point-clouds. Since many faces may be partly occluded by other objects in engineering plants, we estimate possible box shapes and polygonal prisms and verify their compatibility with measured point-clouds. We evaluate our method using actual point-clouds of engineering plants. Highlights This paper proposes a point-based reconstruction method for boxes and polygonal prisms in engineering plants. Many faces may be partly occluded by other objects in engineering plants. In our method, possible shapes are estimated and they are verified using their compatibility with measured point-clouds. In our experiments, our method achieved high precision and recall rates.

Keywords:
Point cloud Reverse engineering Computer science Point (geometry) Computer graphics (images) Artificial intelligence Compatibility (geochemistry) Computer vision Engineering Geometry Mathematics

Metrics

14
Cited By
7.25
FWCI (Field Weighted Citation Impact)
9
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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