scholarly journals 3D SCANNING METHODOLOGY: BELL TOWER OF SANTA <i>MARÍA DE DAROCA</i>’S CHURCH (SPAIN)

2020 ◽  
Vol XLIV-M-1-2020 ◽  
pp. 373-379
Author(s):  
C. López González ◽  
P. Germes Valls
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
3D Laser Scanning ◽  
Great Precision ◽  
Bell Tower ◽  
Architectural Styles ◽  
Depth Study ◽  
Cultural Interest ◽  
Materials Used ◽  
The City

Abstract. Santa María’s Church finds its origins in a medieval mosque located in the city of Daroca, whose historical centre was declared a Historic-Artistic Complex (1968) and, at present, it is considered an "Asset of Cultural Interest". The bell tower is the only remnant of the Islamic mosque that is preserved. In the 14th century, the Mudejar tower was covered with ashlar masonry and increased in height. The conjunction of successive stages of construction, with the different construction systems and materials used in each period, as well as the different architectural styles that can be contemplated in this tower, convert it into a unique and complex exemplary work. However, despite being a bell tower of great heritage value, there is no rigorous planimetry available of any kind allowing its in-depth study. Due to its complexity and diversity of materials, it has required the use of the 3D laser scanning technology. The shortage of space and light made it necessary to carefully plan the sequential stationing process and the results have been very satisfactory. The scanning has allowed detection of the tower’s inclination with great precision and has facilitated the visualization of the meeting point of both Arabesque and Christian remnants. It has also been proven that the bell tower’s inclination is not uniform throughout the height of the closing wall, but is slightly straightened from the Christian period. This communication describes the process followed to perform the scanning and subsequent manipulation of point clouds, presenting the results obtained.

scholarly journals LiDAR based urban vegetation mapping as a basis of green infrastructure planning

2020 ◽  
Vol 171 ◽  
pp. 02008
Author(s):  
Krzysztof Pyszny ◽  
Mariusz Sojka ◽  
Rafał Wróżyński
Keyword(s):  
Green Infrastructure ◽  
Urban Areas ◽  
Laser Scanning ◽  
Noise Pollution ◽  
Point Clouds ◽  
Data Mapping ◽  
Vegetation Density ◽  
Island Effect ◽  
Detailed Assessment ◽  
The City

Planning green infrastructure in the cities is a challenging task for planners and city managers. Developing multifunctional green space systems provide many benefits including: increasing water retention, mitigating urban heat island effect, microclimate regulation, reducing air, water and noise pollution and conservation biodiversity. The greenery in the city also have an impact on human health. The paper presents the possibilities of using LiDAR data mapping vegetation density in urban areas on the example of Gorzów Wielkopolski (Poland). Maps made as a result of processing the point clouds obtained from airborne laser scanning represents the most accurate, comprehensive and detailed assessment of Gorzów Wielkopolski vegetation cover to date and establishes the baseline for greenery governance and planning of green infrastructure in the city.

scholarly journals RESEARCH ON COORDINATE TRANSFORMATION METHOD OF GB-SAR IMAGE SUPPORTED BY 3D LASER SCANNING TECHNOLOGY

2018 ◽  
Vol XLII-3 ◽  
pp. 1757-1763 ◽  
Author(s):  
P. Wang ◽  
C. Xing
Keyword(s):  
Coordinate System ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Estimation Method ◽  
Image Plane ◽  
Point Clouds ◽  
Transformation Method ◽  
Deformation Monitoring ◽  
Sar Image ◽  
3D Laser Scanning

In the image plane of GB-SAR, identification of deformation distribution is usually carried out by artificial interpretation. This method requires analysts to have adequate experience of radar imaging and target recognition, otherwise it can easily cause false recognition of deformation target or region. Therefore, it is very meaningful to connect two-dimensional (2D) plane coordinate system with the common three-dimensional (3D) terrain coordinate system. To improve the global accuracy and reliability of the transformation from 2D coordinates of GB-SAR images to local 3D coordinates, and overcome the limitation of traditional similarity transformation parameter estimation method, 3D laser scanning data is used to assist the transformation of GB-SAR image coordinates. A straight line fitting method for calculating horizontal angle was proposed in this paper. After projection into a consistent imaging plane, we can calculate horizontal rotation angle by using the linear characteristics of the structure in radar image and the 3D coordinate system. Aided by external elevation information by 3D laser scanning technology, we completed the matching of point clouds and pixels on the projection plane according to the geometric projection principle of GB-SAR imaging realizing the transformation calculation of GB-SAR image coordinates to local 3D coordinates. Finally, the effectiveness of the method is verified by the GB-SAR deformation monitoring experiment on the high slope of Geheyan dam.

scholarly journals EQUAL PROPORTION REPRODUCTION METHOD OF GROTTO BASED ON POINT CLOUD

2019 ◽  
Vol XLII-2/W15 ◽  
pp. 1215-1219
Author(s):  
P. Wei ◽  
A. Li ◽  
M. Hou ◽  
L. Zhu ◽  
D. Xu ◽  
...  
Keyword(s):  
3D Printing ◽  
Point Cloud ◽  
Laser Scanning ◽  
New Technologies ◽  
Rapid Development ◽  
Point Clouds ◽  
Equal Proportion ◽  
3D Laser Scanning ◽  
Printing Technology ◽  
3D Printing Technology

<p><strong>Abstract.</strong> The rapid development of 3D laser scanning and 3D printing technology provides new technologies and ideas for cultural relic protection and reproduction. Aiming at the requirement of equal proportional reproduction of large-scale grottoes, this paper takes the point cloud data of the 18th Cave of Yungang Grottoes obtained by 3D laser scanning as an example, and proposes a data processing and reproduction block partitioning method for equal proportion reproduction. The Cyclone, Geomagic and AutoCAD software were used to construct the 3D model of the grotto, and the 3D printing technology was used to realize the secondary design and model print. Among them, the research focuses on the modeling of massive point clouds and the method of model partitioning based on voxels. It can meet the requirements of movable and assembly while realizing the equal proportional reproduction of the whole grotto. The research results and application can be a good reference for the future grotto reproduction work.</p>

scholarly journals TOWARDS THE AUTOMATIC 3D PARAMETRIZATION OF NON-PLANAR SURFACES FROM POINT CLOUDS IN HBIM APPLICATIONS

2019 ◽  
Vol XLII-2/W15 ◽  
pp. 1023-1030
Author(s):  
J. Román ◽  
P. M. Lerones ◽  
J. Llamas ◽  
E. Zalama ◽  
J. Gómez-García-Bermejo
Keyword(s):  
Point Cloud ◽  
Input Data ◽  
Laser Scanning ◽  
Middle Age ◽  
Point Clouds ◽  
3D Laser Scanning ◽  
Architectural Elements ◽  
Planar Surfaces ◽  
Architectural Features ◽  
Renaissance Period

<p><strong>Abstract.</strong> 3D laser scanning and photogrammetric 3D reconstruction generate point clouds from which the geometry of BIM models can be created. However, a few methods do this automatically for concrete architectural elements, but in no case for the entirety of heritage assets. A novel procedure for the automatic recognition and parametrization of non-planar surfaces of heritage immovable assets is presented using point clouds as raw input data. The methodology is able to detect the most relevant architectural features in a point cloud and their interdependences through the analysis of the intersections of related elements. The non-planar surfaces detected, mainly cylinders, are studied in relation to the neighbouring planar surfaces present in the cloud so that the boundaries of both the planar and the non-planar surfaces are accurately defined. The procedure is applied to the emblematic Castle of Torrelobatón, located in Valladolid (Spain) to allow the cataloguing of required elements, as illustrative example of the European defensive architecture from the Middle age to the Renaissance period. Results and conclusions are reported to evaluate the performance of this approach.</p>

scholarly journals System analysis of the quality of meshes in HBIM

2018 ◽  
Vol 170 ◽  
pp. 03033 ◽  
Author(s):  
Elizaveta Fateeva ◽  
Vladimir Badenko ◽  
Alexandr Fedotov ◽  
Ivan Kochetkov
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
System Analysis ◽  
Point Clouds ◽  
Rational Solutions ◽  
Historical Building ◽  
Architectural Styles ◽  
Architectural Features ◽  
Building Information

Historical Building Information Modelling (HBIM) is nowadays used as a means to collect, store and preserve information about historical buildings and structures. The information is often collected via laser scanning. The resulting point cloud is manipulated and transformed into a polygon mesh, which is a type of model very easy to work with. This paper looks at the problems associated with creating mesh out of point clouds depending on various characteristics in context of façade reconstruction. The study is based on a point cloud recorded via terrestrial laser scanning in downtown Bremen, Germany that contains buildings completed in a number of different architectural styles, allowing to extract multiple architectural features. Analysis of meshes' quality depending on point cloud density was carried out. Conclusions were drawn as to what the rational solutions for effective surface extraction can be for each individual building in question. Recommendations on preprocessing of point clouds were given.

scholarly journals Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning

2019 ◽  
Vol 8 (9) ◽  
pp. 425
Author(s):  
Weite Li ◽  
Kenya Shigeta ◽  
Kyoko Hasegawa ◽  
Liang Li ◽  
Keiji Yano ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Large Scale ◽  
Three Dimensional ◽  
Point Clouds ◽  
City Government ◽  
Three Dimensional Objects ◽  
Kyoto City ◽  
Risk Areas ◽  
Scale Point ◽  
The City

In this paper, we propose a method to visualize large-scale colliding point clouds by highlighting their collision areas, and apply the method to visualization of collision simulation. Our method uses our recent work that achieved precise three-dimensional see-through imaging, i.e., transparent visualization, of large-scale point clouds that were acquired via laser scanning of three-dimensional objects. We apply the proposed collision visualization method to two applications: (1) The revival of the festival float procession of the Gion Festival, Kyoto city, Japan. The city government plans to revive the original procession route, which is narrow and not used at present. For the revival, it is important to know whether the festival floats would collide with houses, billboards, electric wires, or other objects along the original route. (2) Plant simulations based on laser-scanned datasets of existing and new facilities. The advantageous features of our method are the following: (1) A transparent visualization with a correct depth feel that is helpful to robustly determine the collision areas; (2) the ability to visualize high collision risk areas and real collision areas; and (3) the ability to highlight target visualized areas by increasing the corresponding point densities.

scholarly journals AUTOMATIC 3D RECONSTRUCTION OF COMPLEX BUILDINGS FROM INCOMPLETE POINT CLOUDS WITH TOPOLOGICAL-RELATION CONSTRAINTS

2020 ◽  
Vol V-5-2020 ◽  
pp. 85-92
Author(s):  
Y. Li ◽  
B. Wu
Keyword(s):  
3D Reconstruction ◽  
Laser Scanning ◽  
Large Scale ◽  
Point Clouds ◽  
3D Models ◽  
Automatic Generation ◽  
Topological Relation ◽  
Architectural Styles ◽  
Topological Errors ◽  
Polyhedral Cells

Abstract. Automatic 3D building reconstruction from laser scanning or photogrammetric point clouds has gained increasing attention in the past two decades. Although many efforts have been made, the complexity of buildings and incompletion of point clouds, i.e., data missing, still make it a challenging task for automatic 3D reconstruction of buildings in large-scale urban scenes with various architectural styles. This paper presents an innovative approach for automatic generation of 3D models of complex buildings from even incomplete point clouds. The approach first decomposes the 3D space into multiple space units, including 3D polyhedral cells, facets and edges, where the facets and edges are also encoded with topological-relation constraints. Then, the units and constraints are used together to approximate the buildings. On one hand, by extracting facets from 3D cells and further extracting edges from facets, this approach simplifies complicated topological computations. On the other hand, because this approach models buildings on the basis of polyhedral cells, it can guarantee that the models are manifold and watertight and avoid correcting topological errors. A challenging dataset containing 105 buildings acquired in Central, Hong Kong, was used to evaluate the performance of the proposed approach. The results were compared with two previous methods and the comparisons suggested that the proposed approach outperforms other methods in terms of robustness, regularity, and accuracy of the models, with an average root-mean-square error of less than 0.9 m. The proposed approach is of significance for automatic 3D modelling of buildings for urban applications.

scholarly journals USING MOBILE LASER SCANNING POINT CLOUDS TO EXTRACT URBAN ROADSIDE TREES FOR ECOLOGICAL BENEFITS ESTIMATION

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 211-216
Author(s):  
W. Fan ◽  
B. Yang ◽  
F. Liang ◽  
Z. Dong
Keyword(s):  
Laser Scanning ◽  
Point Clouds ◽  
Morphological Parameters ◽  
Heat Island ◽  
Individual Tree ◽  
Ecological Benefits ◽  
Urban Heat ◽  
The City ◽  
Tree Extraction ◽  
Parameters Calculation

Abstract. Roadside trees in the city play a crucial role in addressing the issues of air pollution, urban heat island effects, road noise, and so on. This paper proposes an efficient and robust method to automatically extract individual roadside trees with morphological parameters from mobile laser scanning (MLS) point clouds for ecological benefits estimation. The proposed method consists of four steps: MLS data pre-processing, pole-like objects classification, individual tree extraction, morphological parameters calculation for ecological benefits estimation. The proposed method is verified using three complex datasets in Shanghai, China. Comprehensive experiments demonstrate that the proposed method achieves good performance in extracting individual tree in terms of average precision and recall (91.83%, 92.60%), and provides detailed information for ecological benefits estimation.

scholarly journals 3D LASER SCANNING OF THE HISTORIC GREEK CATHOLIC CHURCH – CASE STUDY

2016 ◽  
Vol 2 (1) ◽  
pp. 123-128
Author(s):  
Matúš Tkáč ◽  
Peter Mesároš
Keyword(s):  
Data Collection ◽  
Catholic Church ◽  
Laser Scanning ◽  
3D Model ◽  
Point Clouds ◽  
Modern Technology ◽  
Attractive Alternative ◽  
3D Laser Scanning ◽  
The Real ◽  
Model Point

Laser scanning is the most modern technology for high quality focusing on real objects. 3D laser scanning technology allows the space digitizing of objects which means transferring different objects from the real world into a 3D digital environment where they can continue to work. 3D object scanning allows enhancing the design process, speeds up and reduces data collection errors, saves time and money and thus makes it an attractive alternative to traditional data collection techniques. This technology has wide application and it can be used for surveying of various objects such as buildings, factory buildings, machinery, equipment, engineering networks and also cultural monuments or statues. The result of a scan is a 3d model point cloud which represents threedimensional image of scanned objects and complex shapes. The aim of the paper is description of methodology of the work with 3D laser scanner Faro Focus X130 from Faro Company on the real building object - historic greek catholic church. This paper describes the methodology of laser scanning, describes the specific step during scanning and describes the possibility of create 2D documentation from 3D model point clouds.

scholarly journals Research and Application of 3D Laser Scanning in Transparent Longwall

2021 ◽  
Author(s):  
LI Sen ◽  
RONG Yao ◽  
CAO Qiong
Keyword(s):  
Coordinate System ◽  
Coal Mine ◽  
Laser Scanning ◽  
Rapid Development ◽  
Point Clouds ◽  
3D Laser Scanning ◽  
Adaptive Automation ◽  
Digital Format ◽  
Space Coordinate ◽  
Self Adaptive

Abstract With the rapid development of science and technology, the development of coal mining in China is stepping into intelligent mining stage from the mechanized automatic mining stage. And the research of intelligent mining is also upgrading to the self-adaptive automation mining from visual remote intervention. In 2019, the first practice of self-adaptive digital mining technology, which is based on transparent longwall theory, was performed in #43101 longwall of Yujialiang coal mine and made notable gains. The 3D laser scanning technology, which played an important role in technology architecture of Yujialiang coal mine’s transparent longwall practice, transformed the mined longwall space information into digital format and then provided reliable basic data for cutting template calculation. This paper introduces application of 3D laser scanning in Yujialiang coal mine in detail, including principle of 3D laser scanning, detection of intersecting curve between longwall’s coal wall and roof, neighbor point-clouds splicing, transformation for longwall pointcloud from local space coordinate system to 3D geological model’s global space coordinate system. The experiment result in #43101 longwall of Yujialiang coal mine demonstrated that 3D laser scanning technology, which is able to quickly and precisely capture mined longwall space information, is a important sensing technology involved by self-adaptive automation mining.

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