Results 31 to 40 of about 235,860 (270)

Method for extraction of airborne LiDAR point cloud buildings based on segmentation.

open access: yesPLoS ONE, 2020
The LiDAR technology is a means of urban 3D modeling in recent years, and the extraction of buildings is a key step in urban 3D modeling. In view of the complexity of most airborne LiDAR building point cloud extraction algorithms that need to combine ...
Maohua Liu   +6 more
doaj   +1 more source

Finite-size scaling of heavy-light mesons [PDF]

open access: yes, 2009
We study the finite-size scaling of heavy-light mesons in the static limit. The most relevant effects are due to the pseudo-Goldstone boson cloud. In the HMChPT framework we compute two-point functions of left current densitities as well as pseudoscalar ...
Bernardoni, Fabio   +2 more
core   +2 more sources

Plane-based registration of construction laser scans with 3D/4D building models [PDF]

open access: yes, 2012
With the development of building information modelling (BIM) and terrestrial laser scanning (TLS) in the architecture, engineering, construction and facility management (AEC/FM) industry, the registration of site laser scans and project 3D (BIM) models ...
Bosché, Frédéric
core   +1 more source

3D face recognition using multiview keypoint matching [PDF]

open access: yes, 2009
A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate each 3D point cloud representing an individual’s face around the x, y or z ...
Mayo, Michael, Zhang, Edmond Yiwen
core   +2 more sources

RAILWAY LIDAR SEMANTIC SEGMENTATION WITH AXIALLY SYMMETRICAL CONVOLUTIONAL LEARNING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
This paper presents a new deep-learning-based method for 3D Point Cloud Semantic Segmentation specifically designed for processing real-world LIDAR railway scenes.
A. Manier   +4 more
doaj   +1 more source

Micelle-mediated separation and cloud-point extraction

open access: yesTrAC Trends in Analytical Chemistry, 2005
We present contemporary developments in the field of surfactants and micellar systems together with their applications in analysis, with the aim of highlighting some of the most important aspects of this area of research. We pay particular attention to speciation through cloud-point extraction (CPE), as well as to the differentiation of metallic ...
Paleologos, E. K.   +2 more
openaire   +2 more sources

Automatic Rail Information Extraction Method Based on Point Cloud Data of 3D Mobile Measurement System

open access: yes机车电传动, 2021
In order to realize the intelligent management and maintenance of railway infrastructure, it's necessary to use 3D mobile measurement system to ef fi ciently obtain high-precision point cloud data and intelligently process the point cloud data.
Dongfang ZHANG   +4 more
doaj  

Feature Analysis of Scanning Point Cloud of Structure and Research on Hole Repair Technology Considering Space-Ground Multi-Source 3D Data Acquisition

open access: yesSensors, 2022
As one of the best means of obtaining the geometry information of special shaped structures, point cloud data acquisition can be achieved by laser scanning or photogrammetry.
Xinming Pu   +3 more
doaj   +1 more source

THE IMPACT OF POINT CLOUD DENSITY ON BUILDING OUTLINE EXTRACTION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
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
doaj   +1 more source

Fast and robust 3D feature extraction from sparse point clouds [PDF]

open access: yes, 2016
Matching 3D point clouds, a critical operation in map building and localization, is difficult with Velodyne-type sensors due to the sparse and non-uniform point clouds that they produce.
GRISETTI, GIORGIO   +2 more
core   +1 more source

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