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Items from 1 to 20 out of 294 results

article

Formula for calculating spatial similarity degrees between point clouds on multi-scale maps taking map scale change as the only independent variable

Weifang Yang, Haowen Yan, Jonathan Li, W. Yang, more

Geodesy and Geodynamics > 2015 > 6 > 2 > 113-125

The degree of spatial similarity plays an important role in map generalization, yet there has been no quantitative research into it. To fill this gap, this study first defines map scale change and spatial similarity degree/relation in multi-scale map spaces and then proposes a model for calculating the degree of spatial similarity between a point cloud at one scale and its generalized counterpart...

article

BIM‐Modellierung von Bestandsgebäuden – eine Studie zu Aufwand und Effizienz

Peter Marx, Félicia Norma Rebecca Teferle, Andreas Thewes, Markus Schäfer

Bautechnik > 101 > 8 > 453 - 461

Im vom Bundesministerium für Bildung und Forschung geförderten Projekt „FHprofUnt 2018: BIM Bauen im Bestand (BIM‐BiB)“ wurde der Campus der Hochschule Trier mittels terrestrischem Laserscanner vermessen und die gewonnenen Daten in BIM‐Modelle der Gebäude des Campus überführt. Diese Studie untersucht die Effizienz von Bestandsvermessungen durch 3D‐Scanner, der Punktwolkenerstellung und ‐nachbearbeitung...

article

Determining the trend of geometrical changes of a hydrotechnical object based on data in the form of LiDAR point clouds

Maria Elżbieta Kowalska, Janina Zaczek-Peplinska, Łukasz Piasta

Archives of Civil Engineering > 2024 > Vol. 70, nr 1 > 305--323

Monitoring the technical condition of hydrotechnical facilities is crucial for ensuring their safe usage. This process typically involves tracking environmental variables (e.g., concrete damming levels, temperatures, piezometer readings) as well as geometric and physical variables (deformation, cracking, filtration, pore pressure, etc.), whose long-term trends provide valuable information for facility...

article

A point cloud filtering method based on anisotropic error model

Mustafa Ozendi, Devrim Akca, Hüseyin Topan

The Photogrammetric Record > 38 > 184 > 460 - 497

Many modelling applications require 3D meshes that should be generated from filtered/cleaned point clouds. This paper proposes a methodology for filtering of terrestrial laser scanner (TLS)‐derived point clouds, consisting of two main parts: an anisotropic point error model and the subsequent decimation steps for elimination of low‐quality points. The point error model can compute the positional quality...

article

Teilautomatisierte Generierung von digitalen Infrastrukturmodellen mittels Multi‐Datenfusion

Jan‐Iwo Jäkel, Peter Gölzhäuser, Annette Schmitt, Justine Bange, more

Bautechnik > 100 > 11 > 667 - 673

Die Eisenbahninfrastruktur besitzt eine hohe Signifikanz für Wirtschaft und Gesellschaft. Das Durchschnittsalter der Eisenbahnbrücken in Deutschland liegt bei etwa 75 Jahren. Entsprechend ist auch die Bestandsdokumentation der Bauwerke historisch bzw. veraltet. Für den Anlagenbetreiber stellt die Inventarisierung, Aktualisierung und Bereitstellung von mehr als 4,6 Millionen Bestandsplänen eine enorme...

article

Automatic calibration of terrestrial laser scanners using intensity features

Jing Qiao, Tomislav Medic, Andreas Baumann‐Ouyang

The Photogrammetric Record > 38 > 183 > 320 - 338

We propose an in situ self‐calibration method by detecting and matching intensity features on the local planes in overlapping point clouds based on the Förstner operator. We successfully matched the intensity features from scans at different locations by feature matching on common local planes rather than on the rasterised grids of the horizontal and vertical angles adopted by the affirmed keypoint‐based...

article

IFC‐based semantic modeling of damaged RC beams using 3D point clouds

Jiangpeng Shu, Congguang Zhang, Ke Yu, Mohammed Shooshtarian, more

Structural Concrete > 24 > 1 > 389 - 410

It is important to assess existing reinforced concrete (RC) structures with damages. This task, however, is traditionally empirical and time‐consuming. To improve assessment accuracy and efficiency, this study proposed an approach to semantic model damaged RC beams based on point clouds. A slice‐based method for automatically modeling deformed beams and a color‐based crack detection method were developed...

article

Determining the degree of deformation in rain drainage installations through point cloud modeling

Joanna A. Pawłowicz, Aldona Skotnicka-Siepsiak, Carles Serrat

Budownictwo o Zoptymalizowanym Potencjale Energetycznym > 2023 > Vol. 12 > 63--69

Buildings are often complex and hindered by identifying and measuring deformation in both the building itself and its elements. However, we have the assistance of 3D laser scanning technology which allows us to collect geometric data. Scanners are particularly effective for measuring high and hard-to-reach locations. This paper focuses on the measuring and modeling of roof drainage installations,...

article

Interpolation graph convolutional network for 3D point cloud analysis

Yao Liu, Lina Yao, Binghao Li, Claude Sammut, more

International Journal of Intelligent Systems > 37 > 12 > 12283 - 12304

The feature analysis of point clouds, a popular representation of three‐dimensional (3D) objects, is rising as a hot research topic nowadays. Point cloud data bear a sparse and unordered nature, making many commonly used feature extraction methods, for example, Convolutional Neural Networks (CNNs) inapplicable, while previous models suitable for the task are usually complex. We aim to reduce model...

article

Road Curbs Extraction from Mobile Laser Scanning Point Clouds with Multidimensional Rotation‐Invariant Version of the Local Binary Pattern Features

Xinjiang Ma, Dongjie Yue, Rufei Liu, Ruisheng Wang, more

The Photogrammetric Record > 37 > 180 > 410 - 434

Road curb is one of the important components of road information, and its high‐precision information is significant for the development of autonomous driving, intelligent transportation and smart cities. A mobile laser scanning (MLS) system can acquire high‐precision and high‐density road three‐dimensional (3D) point clouds data, which has the advantages of high efficiency, low cost and non‐contact...

article

Capturing complex star dune dynamics—repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data

Manuel Herzog, Katharina Anders, Bernhard Höfle, Olaf Bubenzer

Earth Surface Processes and Landforms > 47 > 11 > 2726 - 2739

Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover, as well as feedbacks with adjacent environments. However, an understanding of aeolian dynamics on star dune morphometries is still lacking sufficient detail, and their influence on formation...

article

Geometric relation based point clouds classification and segmentation

Wenbin Yang, Suqin Sheng, Xiangfeng Luo, Shaorong Xie

Concurrency and Computation: Practice and Experience > 34 > 11 > n/a - n/a

The inherent disorder and irregularity of 3D point clouds pose great challenges to classification and segmentation tasks. To tackle these problems, we propose a geometric relation based point clouds classification and segmentation network. Specifically, we design two novel modules named geometric relation based convolution (GRC) and relational attention interpolation (RAI) to infer the local relations...

article

3D scan contour de-featuring for improved measurement accuracy – a case study for a small turbine guide vane component

Marcin Jamontt, Paweł Pyrzanowski

Bulletin of the Polish Academy of Sciences. Technical Sciences > 2021 > Vol. 69, nr 5 > art. no. e138815

3D scanning measurements are gaining popularity every year. Quick inspections on already captured point clouds are easy to prepare with the use of modern software and machine learning. To achieve repeatability and accuracy, some surface and measurement issues should be considered and resolved before the inspection. Large numbers of manufacturing scans are not intended for manual correction. This article...

article

3D scan contour de-featuring for improved measurement accuracy – a case study for a small turbine guide vane component

Jamontt, Marcin, Pyrzanowski, Paweł, Jamontt, Marcin, Pyrzanowski, Paweł

Bulletin of the Polish Academy of Sciences: Technical Sciences > 2021

article

Od skanu do wydruku 3D

Damian Czekaj

Geodeta : magazyn geoinformacyjny > 2021 > nr 12 > 44--46

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

article

Temporal Upsampling of Point Cloud Sequences by Optimal Transport for Plant Growth Visualization

Tim Golla, Tom Kneiphof, Heiner Kuhlmann, Michael Weinmann, more

Computer Graphics Forum > 39 > 6 > 167 - 179

Plant growth visualization from a series of 3D scanner measurements is a challenging task. Time intervals between successive measurements are typically too large to allow a smooth animation of the growth process. Therefore, obtaining a smooth animation of the plant growth process requires a temporal upsampling of the point cloud sequence in order to obtain approximations of the intermediate states...

article

sensaas: Shape‐based Alignment by Registration of Colored Point‐based Surfaces

Dominique Douguet, Frédéric Payan

Molecular Informatics > 39 > 8 > n/a - n/a

sensaas is a tool developed for aligning and comparing molecular shapes and sub‐shapes. Alignment is obtained by registration of 3D point‐based representations of the van der Waals surface. The method uses local properties of the shape to identify the correspondence relationships between two point clouds containing up to several thousand colored (labeled) points. Our rigid‐body superimposition method...

article

Using Lidar point clouds in determination of the scots pine stands spatial structure meaning in the conservation of Lichen communities in "Bory Tucholskie" National Park

Piotr Wężyk, Paweł Hawryło, Marta Szostak, Karolina Zięba-Kulawik, more

Archiwum Fotogrametrii, Kartografii i Teledetekcji > 2019 > vol. 31 > 85--103

The aim of the research carried out in 2018 and financed by the Forest Fund was the analysis of biometric features and parameters of pine stands in the area of the "Bory Tucholskie" National Park (PNBT), where a program of active protection of lichen was initiated in 2017. Environmental analyses were conducted in relation to selected biometric features of trees and stands using laser scanning...

article

Cross‐section positioning based on a dynamic MLS tunnel monitoring system

Liming Du, Ruofei Zhong, Haili Sun, Yujiao Liu, more

The Photogrammetric Record > 34 > 167 > 244 - 265

The number of tunnels is increasing sharply, especially in China, due to the development of urban rail transit networks. It is thus crucial to study rapid structural deformation detection methods for tunnels in operation. A dynamic tunnel monitoring system can directly obtain cross sections. However, using only odometers to locate the cross sections along the track of a tunnel results in insufficient...

article

Surface reconstruction from unorganized point clouds based on edge growing

Xu-Jia Qin, Zhong-Tian Hu, Hong-Bo Zheng, Mei-Yu Zhang

Advances in Manufacturing > 2019 > 7 > 3 > 343-352

Owing to unorganized point cloud data, unexpected triangles, such as holes and slits, may be generated during mesh surface reconstruction. To solve this problem, a mesh surface reconstruction method based on edge growing from unorganized point clouds is proposed. The method first constructs an octree structure for unorganized point cloud data, and determines the k-nearest neighbor for each point....

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POINT CLOUDS (294)
THREE-DIMENSIONAL DISPLAYS (46)
FEATURE EXTRACTION (25)
CLOUDS (23)
SURFACE RECONSTRUCTION (22)
THREE DIMENSIONAL DISPLAYS (18)
LIDAR (17)
REGISTRATION (16)
SHAPE (16)
SOLID MODELING (16)
CAMERAS (15)
CHMURA PUNKTÓW (15)
LASER SCANNING (14)
SEGMENTATION (14)
DATA MINING (13)
LASER RADAR (13)
COMPUTATIONAL GEOMETRY (12)
SURFACE TREATMENT (12)
COMPUTATIONAL MODELING (11)
IMAGE RECONSTRUCTION (11)
VISUALIZATION (11)
3D MODELLING (10)
ACCURACY (10)
REMOTE SENSING (10)
REVERSE ENGINEERING (10)
SENSORS (10)
VEGETATION (10)
3D RECONSTRUCTION (9)
ITERATIVE CLOSEST POINT ALGORITHM (9)
LASER MODES (9)
MOBILE LASER SCANNING (9)
OBJECT RECOGNITION (9)
RENDERING (COMPUTER GRAPHICS) (9)
ALGORITHM DESIGN AND ANALYSIS (8)
ESTIMATION (8)
BUILDINGS (7)
OBJECT DETECTION (7)
OPTICAL SCANNERS (7)
ROADS (7)
ROBUSTNESS (7)
TERRESTRIAL LASER SCANNING (7)
VECTORS (7)
BIM (6)
DATA MODELS (6)
IMAGE REGISTRATION (6)
IMAGE SEGMENTATION (6)
ITERATIVE METHODS (6)
MEASUREMENT BY LASER BEAM (6)
MESH GENERATION (6)
MOBILE COMMUNICATION (6)
NOISE (6)
PHOTOGRAMMETRY (6)
ROBOT SENSING SYSTEMS (6)
3D LASER SCANNING (5)
3D SCANNING (5)
CLASSIFICATION (5)
COMPUTER GRAPHICS (5)
GEOMETRY (5)
INTERPOLATION (5)
LASERS (5)
MESHES (5)
MODELOWANIE 3D (5)
OPTIMIZATION (5)
RANGE IMAGES (5)
RECONSTRUCTION (5)
SLAM (5)
SOLID MODELLING (5)
TERRESTRIAL LASER SCANNER (5)
AIRBORNE LASER SCANNING (4)
APPROXIMATION METHODS (4)
AUGMENTED REALITY (4)
CLUSTERING (4)
COMPUTER VISION (4)
CONFERENCES (4)
CURVATURE (4)
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HIP (4)
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METEOROLOGY (4)
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NOISE REDUCTION (4)
POINT CLOUD (4)
REAL-TIME SYSTEMS (4)
SIMULTANEOUS LOCALIZATION AND MAPPING (4)
SKANOWANIE LASEROWE (4)
SPLINES (MATHEMATICS) (4)
SURFACE FITTING (4)
TERRESTRIAL LASER SCANNING (TLS) (4)
TRAINING (4)
TRIANGULATION (4)
UAV (4)
3D MODEL (3)
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Search results

Formula for calculating spatial similarity degrees between point clouds on multi-scale maps taking map scale change as the only independent variable

BIM‐Modellierung von Bestandsgebäuden – eine Studie zu Aufwand und Effizienz

Determining the trend of geometrical changes of a hydrotechnical object based on data in the form of LiDAR point clouds

A point cloud filtering method based on anisotropic error model

Teilautomatisierte Generierung von digitalen Infrastrukturmodellen mittels Multi‐Datenfusion

Automatic calibration of terrestrial laser scanners using intensity features

IFC‐based semantic modeling of damaged RC beams using 3D point clouds

Determining the degree of deformation in rain drainage installations through point cloud modeling

Interpolation graph convolutional network for 3D point cloud analysis

Road Curbs Extraction from Mobile Laser Scanning Point Clouds with Multidimensional Rotation‐Invariant Version of the Local Binary Pattern Features

Capturing complex star dune dynamics—repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data

Geometric relation based point clouds classification and segmentation

3D scan contour de-featuring for improved measurement accuracy – a case study for a small turbine guide vane component

3D scan contour de-featuring for improved measurement accuracy – a case study for a small turbine guide vane component

Od skanu do wydruku 3D

Temporal Upsampling of Point Cloud Sequences by Optimal Transport for Plant Growth Visualization

sensaas: Shape‐based Alignment by Registration of Colored Point‐based Surfaces

Using Lidar point clouds in determination of the scots pine stands spatial structure meaning in the conservation of Lichen communities in "Bory Tucholskie" National Park

Cross‐section positioning based on a dynamic MLS tunnel monitoring system

Surface reconstruction from unorganized point clouds based on edge growing

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