Virtual 3D model of Canseleri building via close-range photogrammetry implementation

2019 ◽  
Vol 38 (1) ◽  
pp. 217-227
Author(s):  
Ahmad Shahrunnizam Ahmad Shazali ◽  
Khairul Nizam Tahar
Keyword(s):  
3D Model ◽  
Accuracy Assessment ◽  
Actual Measurement ◽  
Total Station ◽  
Content Type ◽  
Building Model ◽  
Close Range Photogrammetry ◽  
3D Building Model ◽  
Close Range ◽  
Uav Images

Purpose The current technique used to measure construction is the conventional total station method. However, the conventional method is time-consuming and could not be used to create a photo-realistic three-dimensional (3D) model of an object. Furthermore, the Canseleri building is located at a slope. The paper aims to discuss this issue. Design/methodology/approach The aim of this study is to assess the geometric accuracy of a 3D model using unmanned aerial vehicle (UAV) images. There are two objectives in this study. The first is to construct a 3D model of the Canseleri building using UAV images. The second objective is to validate the 3D model of the Canseleri building based on actual measurements. Findings The close-range photogrammetry method, using the UAV platform, was able to produce a 3D building model. The results show that the errors between the actual measurement and the generated 3D model were less than 4 cm. The accuracy of the 3D model achieved in this study was about 0.015 m, compared to total station measurements. Originality/value Accuracy assessment was done by comparing the estimated measurement of the 3D model with the direct measurement. The differences between the measured values with actual values could be compared. Based on this study, the 3D building model gave a reliable accuracy for specific applications.

Research on 3D Tunnel Modeling Based on Close-Range Photogrammetry

2014 ◽  
Vol 1073-1076 ◽  
pp. 1934-1940 ◽  
Author(s):  
Wei Dong Li ◽  
Nan Lin ◽  
Xu Chen
Keyword(s):  
High Precision ◽  
Control Measure ◽  
Control Point ◽  
Three Dimensional ◽  
Control Points ◽  
Three Dimensional Model ◽  
Actual Measurement ◽  
Total Station ◽  
Close Range Photogrammetry ◽  
Close Range

Combined with the experimental tunnel actual environment to select the appropriate control points as the logo, layout tunnel three dimensional modeling control network. using high-precision total station TM30 to control, measure and acquire image control points coordinate. in the following field collection imaging principle, the actual target of image acquisition, 3D modeling of tunnel based on the software platform of Lensphoto, the research results show that, the tunnel homonymous control point coordinates measured by Lensphoto three-dimensional model and using high-precision total station TM30 observations are of basic agreement, the error in the centimeter level, verified the feasibility of using digital close range photogrammetry in actual measurement of tunnel engineering,has the long-term guiding significance to the tunnel three-dimensional digital information collection and safety production.

scholarly journals Accuracy analysis of 3D model obtained by photogrammetric method on the example of historic room from Wisłoujście Fortress

2018 ◽  
Vol 63 ◽  
pp. 00013
Author(s):  
Tadeusz Widerski ◽  
Karol Daliga
Keyword(s):  
Test Object ◽  
3D Model ◽  
3D Models ◽  
Reference Points ◽  
Control Points ◽  
Accuracy Analysis ◽  
Total Station ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
Photogrammetric Method

The article presents a comparison of obtained models of a test object. Close range photogrammetry was used to obtain 3D models. As test object was used one of the rooms located in Wisłoujście Fortress in Gdańsk, Poland. Different models were obtained by using different distribution and number of reference points. Article contains analysis of differences between coordinates of control points obtained from total station measurements and estimated from different 3D models.

scholarly journals Digital Model in Close-Range Photogrammetry Using a Smartphone Camera

2021 ◽  
Vol 318 ◽  
pp. 04005
Author(s):  
Tariq N. Ataiwe ◽  
Israa Hatem ◽  
Hisham M. J. Al Sharaa
Keyword(s):  
Camera Calibration ◽  
3D Model ◽  
Accuracy Assessment ◽  
Low Cost ◽  
Calibration Model ◽  
Digital Cameras ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
Chessboard Pattern ◽  
Image Orientation

Smartphones recently expanded the potential for low-cost close-range photogrammetry for 3D modeling. They enable the simultaneous collection of large amounts of data for a variety of requirements. It is possible to calculate image orientation elements and triangular coordinates in phases as in Relative and Absolute image orientation. This study demonstrates the photogrammetric 3D reconstruction approach that performs on tablets and smartphones as well. Images are taken with smartphone cameras of iPhone 6 and then calibrated automatically using normal calibration model for photogrammetry and computer vision on a PC, depend on Agisoft Lens add-on that imbedded in Agisoft program, and MATLAB camera calibration Toolbox, and by using an oriented bunch of images of chessboard pattern for large point cloud-based picture using matching. The camera calibration results indicate that the calibration processing routines pass without any error, and the accuracy of estimated IOPs was convenient compared with non-metric digital cameras and are more accurate in Agisoft Lens in terms of standard error. For the 3D model, 435 cameras were used, 428 cameras located from 435 are aligned in two photogrammetric software, Agisoft PhotoScan, and LPS. The number of tie points that are used in LPS is 10 tie points, and 4 control points which used to estimate the EOPs, and the number of tie points that are regenerated in Agisoft PhotoScan were 135.605 points, the number of Dense cloud 3,716,912 points are generated, for 3D model a number of 316,253 faces are generated, after processing the tiled model generated (6 levels, 1.25 cm/pix), the generated DEM having (2136×1774/pix), the dimensions of the generated high-resolution orthomosaic are (5520×4494, 4.47 cm/pix). For accuracy assessment, the Xerr. = 0.292 m, Yerr. = 0.38577 m, Zerr.= 0.2889 m, and the total RMS = 0.563 m in the estimated locations of the exterior orientation parameters.

Precise multi-image pointing (MIP) applied on convergence close-range photogrammetry images

Sensor Review ◽  
2020 ◽  
Vol 40 (3) ◽  
pp. 311-328
Author(s):  
Farid Esmaeili ◽  
Hamid Ebadi ◽  
Mohammad Saadatseresht ◽  
Farzin Kalantary
Keyword(s):  
Large Scale ◽  
Geometric Model ◽  
Local Features ◽  
Displacement Measurement ◽  
Content Type ◽  
Close Range Photogrammetry ◽  
Position Correction ◽  
Close Range ◽  
Photogrammetric Method ◽  
Self Adaptive

Purpose Displacement measurement in large-scale structures (such as excavation walls) is one of the most important applications of close-range photogrammetry, in which achieving high precision requires extracting and accurately matching local features from convergent images. The purpose of this study is to introduce a new multi-image pointing (MIP) algorithm is introduced based on the characteristics of the geometric model generated from the initial matching. This self-adaptive algorithm is used to correct and improve the accuracy of the extracted positions from local features in the convergent images. Design/methodology/approach In this paper, the new MIP algorithm based on the geometric characteristics of the model generated from the initial matching was introduced, which in a self-adaptive way corrected the extracted image coordinates. The unique characteristics of this proposed algorithm were that the position correction was accomplished with the help of continuous interaction between the 3D model coordinates and the image coordinates and that it had the least dependency on the geometric and radiometric nature of the images. After the initial feature extraction and implementation of the MIP algorithm, the image coordinates were ready for use in the displacement measurement process. The combined photogrammetry displacement adjustment (CPDA) algorithm was used for displacement measurement between two epochs. Micro-geodesy, target-based photogrammetry and the proposed MIP methods were used in a displacement measurement project for an excavation wall in the Velenjak area in Tehran, Iran, to evaluate the proposed algorithm performance. According to the results, the measurement accuracy of the point geo-coordinates of 8 mm and the displacement accuracy of 13 mm could be achieved using the MIP algorithm. In addition to the micro-geodesy method, the accuracy of the results was matched by the cracks created behind the project’s wall. Given the maximum allowable displacement limit of 4 cm in this project, the use of the MIP algorithm produced the required accuracy to determine the critical displacement in the project. Findings Evaluation of the results demonstrated that the accuracy of 8 mm in determining the position of the points on the feature and the accuracy of 13 mm in the displacement measurement of the excavation walls could be achieved using precise positioning of local features on images using the MIP algorithm.The proposed algorithm can be used in all applications that need to achieve high accuracy in determining the 3D coordinates of local features in close-range photogrammetry. Originality/value Some advantages of the proposed MIP photogrammetry algorithm, including the ease of obtaining observations and using local features on the structure in the images rather than installing the artificial targets, make it possible to effectively replace micro-geodesy and instrumentation methods. In addition, the proposed MIP method is superior to the target-based photogrammetric method because it does not need artificial target installation and protection. Moreover, in each photogrammetric application that needs to determine the exact point coordinates on the feature, the proposed algorithm can be very effective in providing the possibility to achieve the required accuracy according to the desired objectives.

Study on 3D Modeling for History Building and Precision Analyzing

2012 ◽  
Vol 443-444 ◽  
pp. 471-476
Author(s):  
Hong Fei Zhang ◽  
Xiao Jun Cheng ◽  
Yin Tao Shi
Keyword(s):  
Large Scale ◽  
3D Model ◽  
Laser Scanner ◽  
Feature Points ◽  
Digital History ◽  
Total Station ◽  
Conversion Model ◽  
Building Model ◽  
Coordinate Conversion ◽  
Prospective Model

Taking a certain history building as an example, we introduce a real 3D digital method for Large-Scale history building using 3D laser scanner and total station, and analyze the precision of coordinate conversion model and established 3D model. Firstly, the building are separated into many stations which are scanned separately in order to get the points cloud of each station, at the same time, the coordinates of targets and feature points of each station are obtained with laser scanner and total station respectively; next step, we convert the points cloud of every station with conversion program developed by Matlab so that the data are under the uniform reference frame with the collected homonymy targets; finally, the points cloud which have been registered are meshed in order to build real 3D digital history building model, meanwhile we analyze the precision of conversion model and the real 3D model. The result shows that this method is fast, efficient, and the prospective model has high precision.

scholarly journals Integration the Low Cost Camera Images with the Google Earth Dataset to Create a 3D Model

2020 ◽  
Vol 6 (3) ◽  
pp. 446-458
Author(s):  
Marwa Mohammed Bori ◽  
Zahraa Ezzulddin Hussein
Keyword(s):  
Laser Scanning ◽  
3D Model ◽  
Low Cost ◽  
Digital Camera ◽  
Smart Phone ◽  
Google Earth ◽  
Close Range Photogrammetry ◽  
Statistical Analysis Method ◽  
Close Range ◽  
The Cost

As known Close range photogrammetry represents one of the most techniques to create precise 3D model. Metric camera, digital camera, and Laser scanning can be exploited for the photogrammetry with variety level of cost that may be high. In this study, the cost level is taken in to consideration to achieve balance between the cost and the obtained accuracy. This study aims to detect potential of low cost tools for creating 3D model in terms of obtained accuracy and details and comparing it with corresponding studies. Smart phone camera is the most available for everyone; this gave the motivation for use in this study. In addition, Google Earth was used to integrate the 3D model produced from all sides including the roof.  Then, two different types of the mobile camera were used in addition to the DSLR camera (Digital Single Lens Reflex) for comparison and analysis purposes. Thus, this research gave flexibility in work and low cost resulting from replacement the metric camera with the smart camera and the unmanned aerial vehicle (UAV) with Google Earth data. Mechanism of the work can be summarized in four steps. Firstly, photogrammetry planning to determine suitable baselines from object and location of targets that measured using GPS and Total station devices. Secondly, collect images using close range photogrammetry technique. Thirdly, processing step to create the 3D model and integrated with Google Earth images using the Agi Photoscan software. Finally, Comparative and evaluation stage to derive the accuracy and quality of the model obtained from this study using statistical analysis method. Regarding this Study, University of Baghdad, central library was selected as the case study. The results of this paper show that the low cost 3D model resulted from integrating  phone and Google Earth images gave suitable result with mean accuracy level reached to about less than 5 meters compared with DSLR camera result, this may be used for several applications such as  culture heritage and architecture documentation.

scholarly journals Analisis Perbandingan Ketelitian Model 3D Menggunakan Lensa Normal dan Lensa Fisheye

2021 ◽  
Vol 4 (2) ◽  
pp. 132
Author(s):  
Adi Nurcahyo ◽  
Djurdjani Djurdjani
Keyword(s):  
Total Station ◽  
Close Range Photogrammetry ◽  
Close Range

Dalam pemodelan 3D, salah satu metode yang umum digunakan adalah close range photogrammetry (CRP). Pada umumnya, metode CRP menggunakan lensa normal akibat distorsinya yang tidak terlalu besar. Lensa fisheye memiliki sudut pandang yang lebih besar dibandingkan lensa normal sehingga dapat mengurangi jumlah foto namun memiliki distorsi yang besar sehingga dapat mempengaruhi ketelitian model 3D yang dihasilkan. Penelitian ini bertujuan untuk melakukan pengujian ketelitian geometrik antara lensa normal dan lensa fisheye. Penelitian dilakukan di Kawasan Candi Ratu Boko. Data yang digunakan adalah foto objek candi, 10 titik GCP dan 10 titik ICP. Hasil model 3D lensa normal dan lensa fisheye sudah dapat memvisualisasikan objek dengan baik dari tingkat kedetilan dari struktur yang dihasilkan. Uji geometrik dilakukan dengan membandingkan jarak pada kedua model dengan jarak di lapangan serta ukuran ICP pada kedua model dengan ukuran ICP hasil akuisisi mengunakan total station reflectorless. Kedua uji tersebut menggunakan uji -t dengan tingkat kepercayaan 95%. Uji ketelitian jarak dan koordinat ICP menghasilkan t hitung < tabel sehingga dapat disimpulkan bahwa ketelitian model 3D lensa fisheye sama dengan ketelitian model 3D lensa normal. Lensa fisheye dapat menggantikan lensa normal untuk pemodelan 3D dalam kondisi lingkungan yang sempit dan terbatas. Distorsi lensa yang besar pada lensa fisheye tidak mempengaruhi ketelitian objek secara signifikan apabila dilakukan proses kalibrasi kamera.

Reality Capture in Construction Engineering Applications Using Close-Range Photogrammetry

2013 ◽  
Vol 353-356 ◽  
pp. 2795-2798
Author(s):  
Fei Dai ◽  
Wei Bing Peng
Keyword(s):  
Laser Scanning ◽  
Construction Sites ◽  
Engineering Applications ◽  
Total Station ◽  
Construction Engineering ◽  
Building Products ◽  
Research Results ◽  
Close Range Photogrammetry ◽  
Close Range

In comparison with existing sensor technologies such as laser scanning and total station, the surveying technique of photogrammetry holds the advantages of being safe, inexpensive, efficient, and ease-to-use. This paper presents the research efforts of applying close-range photogrammetry to model 3D construction graphics, measure geometric dimensions of building products, and visualize changes and progress of dynamic construction sites. The research results demonstrate the potential of the investigated technique in solving construction jobsite problems.

scholarly journals 3D survey and metric analysis of the Late Roman Fort of Umm al-Dabadib (Egypt)

ACTA IMEKO ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 57
Author(s):  
Fausta Fiorillo ◽  
Corinna Rossi
Keyword(s):  
3D Model ◽  
Survey Method ◽  
Close Range Photogrammetry ◽  
Metric Analysis ◽  
Units Of Measurement ◽  
Kharga Oasis ◽  
Close Range ◽  
Project Life ◽  
Modular Measure ◽  
Late Roman

This paper presents a metric analysis and interpretation of the 3D survey of the Late Roman Fort of Umm al-Dabadib (Kharga Oasis, Egypt). The aim is to verify if a modular measure was used in the construction of the Fort and whether this was congruent with Roman or Egyptian units of measurement. Horizontal and vertical sections were extracted from the 3D model of the Fort derived from a close-range photogrammetry survey method. The resulting technical drawings were used for the study and interpretation of the dimensional patterns of the Fort that revealed the correspondence<strong> </strong>of the units of measurement of the building to Egyptian Reformed Cubit. This research is part of the project LIFE (Living in a Fringe Environment), funded by the ERC CoGrant 68167.

scholarly journals 3D DATA ACQUISITION BASED ON OPENCV FOR CLOSE-RANGE PHOTOGRAMMETRY APPLICATIONS

2017 ◽  
Vol XLII-1/W1 ◽  
pp. 377-382 ◽  
Author(s):  
L. Jurjević ◽  
M. Gašparović
Keyword(s):  
Traffic Management ◽  
Point Cloud ◽  
3D Model ◽  
Point Clouds ◽  
Model Reconstruction ◽  
Close Range Photogrammetry ◽  
3D Data ◽  
3D Model Reconstruction ◽  
Close Range ◽  
Real Time Application

Development of the technology in the area of the cameras, computers and algorithms for 3D the reconstruction of the objects from the images resulted in the increased popularity of the photogrammetry. Algorithms for the 3D model reconstruction are so advanced that almost anyone can make a 3D model of photographed object. The main goal of this paper is to examine the possibility of obtaining 3D data for the purposes of the close-range photogrammetry applications, based on the open source technologies. All steps of obtaining 3D point cloud are covered in this paper. Special attention is given to the camera calibration, for which two-step process of calibration is used. Both, presented algorithm and accuracy of the point cloud are tested by calculating the spatial difference between referent and produced point clouds. During algorithm testing, robustness and swiftness of obtaining 3D data is noted, and certainly usage of this and similar algorithms has a lot of potential in the real-time application. That is the reason why this research can find its application in the architecture, spatial planning, protection of cultural heritage, forensic, mechanical engineering, traffic management, medicine and other sciences.

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