Results 41 to 50 of about 39,346 (163)
Light detection and ranging (LIDAR) scanning is a common method of substation scene modeling that extracts point clouds of electrical equipment from the point cloud scene of a substation.
Jianlong Guo +6 more
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THE IMPACT OF POINT CLOUD DENSITY ON BUILDING OUTLINE EXTRACTION [PDF]
Recently, building outline extraction from point cloud has gained momentum in particular in the context of 3D building modelling based on a data-driven approach, which has also been our motivation. For an accurate building outline extraction from a point
U. Drešček +3 more
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AUTOMATIC EXTRACTION OF ROCK JOINTS FROM LASER SCANNED DATA BY MOVING LEAST SQUARES METHOD AND FUZZY K-MEANS CLUSTERING [PDF]
Recent development of laser scanning device increased the capability of representing rock outcrop in a very high resolution. Accurate 3D point cloud model with rock joint information can help geologist to estimate stability of rock slope on-site or off ...
S. Oh, H. D. Park, Y. D. Jo
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Optimization of the 3D Point Cloud Registration Algorithm Based on FPFH Features
In order to solve the problem of the traditional iterative closest point algorithm (ICPA), which requires a high initial position of point cloud and improves the speed and accuracy of point cloud registration, a new registration method is proposed in ...
Ruiyang Sun +6 more
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3D Human Curve Skeleton Extraction Based on Solid-State LiDAR
Human curve skeleton extraction is an important research topic in computer vision. In this paper, we propose a 3D human curve skeleton extraction method for point cloud, unlike the skeleton extraction methods in the literature that use an omnidirectional
Sidong Wu +5 more
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Extraction and analysis of building façades are key processes in the three-dimensional (3D) building reconstruction and realistic geometrical modeling of the urban environment, which includes many applications, such as smart city management, autonomous ...
Yan Li +4 more
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Plant point cloud segmentation is an important step in 3D plant phenotype research. Because the stems, leaves, flowers, and other organs of plants are often intertwined and small in size, this makes plant point cloud segmentation more challenging than ...
Bin Li, Chenhua Guo
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TransPCGC: Point Cloud Geometry Compression Based on Transformers
Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges.
Shiyu Lu, Huamin Yang, Cheng Han
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Forest structural parameters are key indicators for forest growth assessment, and play a critical role in forest resources monitoring and ecosystem management.
Zhuangzhi Xu, Xin Shen, Lin Cao
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Traditional cloud point extraction methods commonly enrich elements in the viscous surfactant. However, the viscosity of the solution will adversely affect the detection signal of the plasma.
SHEN Yu +5 more
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