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 Deformation Measurement of a Railroad Bridge Using a Photogrammetric Board without Control Point Survey

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Hyoseong Lee ◽  
Dongyeob Han
Keyword(s):  
Control Point ◽  
Three Dimensional ◽  
Laser Tracker ◽  
Control Points ◽  
Exterior Orientation ◽  
Close Range Photogrammetry ◽  
Bridge Inspections ◽  
Close Range ◽  
Railroad Bridge ◽  
Orientation Parameters

We propose a photogrammetric board to measure the deformation of a railroad bridge using close-range photogrammetry. The method can be used to compute the exterior orientation parameters and determine three-dimensional (3D) coordinates from images without measuring the control points. The bridge deformation measured using the proposed method was compared to that measured with a 3D laser tracker. The measurement error was within 1 mm, and the proposed method can measure the deformation of an I-plate girder of a railroad bridge. This method may be an alternative to precise stability inspections and bridge inspections.

THREE DIMENSIONAL MODELING OF ARCHAEOLOGICAL ARTIFACT USING PHOTOMODELER SCANNER

2015 ◽  
Vol 75 (10) ◽  
Author(s):  
Ainun Nadzirah Abdul Raof ◽  
Halim Setan ◽  
Abert Chong ◽  
Zulkepli Majid
Keyword(s):  
Laser Scanning ◽  
Three Dimensional ◽  
Data Recording ◽  
Dimensional Model ◽  
Stereo Images ◽  
Three Dimensional Model ◽  
Scanning Method ◽  
Close Range Photogrammetry ◽  
Archaeological Artifact ◽  
Close Range

This article describes the work of archaeological artifact data recording using close range photogrammetry method. A calibrated stereo camera was used to take the stereo images of the artifacts. Photomodeler Scanner software was used to process the stereo images to produce a three-dimensional model of the artifact. For verification purposes, VIVID 910 laser scanner was used to generate three-dimensional model of the same artifact. The study found that close range photogrammetry method is easy to use, with fast data recording, fast data processing and it is a method which is cheaper than the laser scanning method.

scholarly journals 3D Digital modeling for archeology using close range photogrammetry

2018 ◽  
Vol 162 ◽  
pp. 03027
Author(s):  
Abbas Khalaf ◽  
Tariq Ataiwe ◽  
Israa Mohammed ◽  
Ali Kareem
Keyword(s):  
Image Processing ◽  
Total Error ◽  
Three Dimensional ◽  
Digital Camera ◽  
Control Points ◽  
Close Range Photogrammetry ◽  
Digital Modeling ◽  
Close Range ◽  
Processing Software ◽  
Image Processing Software

This research is to evaluate the feasibility of applying three-dimensional modelling of the close-range photogrammetry in documenting archaeological monuments by using digital photogrammetry image processing software and digital consumer camera. The digital camera used was Nikon D3100, the processing software was (AgiSoft PhotoScan) and (ArcGIS, ArcScene extension). The study area was selected in the centre of Baghdad province by choosing one of the archeological monuments in it, namely the Abbasid alace. A set of camera locations represent the locations of the images, and as a result of the processing, 81 digital images were arranged in a sequence in which the results of this step were verified. The points cloud after processing were 1,082,617 points. Six control points were selected, used as distances constrained. The validity of the fixed location of the points can be ascertained by checking the data. The program provide the error and accuracy for each image, where a total error in the scale bar was 0.005253 meters, a total error of marks points was 0.010957 meters and the accuracy for all six points was 0.005 meters.

3D Model Reconstruction Based on Close-Range Photogrammetry

2012 ◽  
Vol 263-266 ◽  
pp. 2393-2398
Author(s):  
Wei Zeng ◽  
Si Dong Zhong ◽  
Yuan Yao ◽  
Zhen Feng Shao
Keyword(s):  
High Precision ◽  
3D Model ◽  
Three Dimensional ◽  
Light Detection And Ranging ◽  
Model Reconstruction ◽  
Close Range Photogrammetry ◽  
Object Distance ◽  
3D Model Reconstruction ◽  
Key Technologies ◽  
Close Range

Close-range photogrammetry is a technique of calculating the location, size and shape of measured object by photography whose object distance is generally not greater than 300 meters. Three-dimensional (3D) model reconstruction based on close-range photogrammetry has higher efficiency than that based on Light Detection And Ranging (LiDAR) technique since acquiring texture data simultaneously. This technology reduces the consuming time of 3D model reconstruction, while ensuring high precision. In this paper, processes and key technologies of 3D model reconstruction based on portable close-range photogrammetry are provided, and it feasibility of the technology is verified via taking Taizhou TV Tower as an example.

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.

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.

scholarly journals IMPROVING UAV TELEMETRY POSITIONING FOR DIRECT PHOTOGRAMMETRY

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 61-68
Author(s):  
L. Rossi ◽  
F. Ioli ◽  
E. Capizzi ◽  
L. Pinto ◽  
M. Reguzzoni
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Control Points ◽  
Three Dimensional Model ◽  
Commercial Software ◽  
Ground Control Points ◽  
Lower Accuracy ◽  
Least Squares Adjustment ◽  
Gnss Receivers

Abstract. A fundamental step of UAV photogrammetric processes is to collect Ground Control Points (GCPs) by means of geodetic-quality GNSS receivers or total stations, thus obtaining an absolutely oriented model with a centimetric accuracy. This procedure is usually time-consuming, expensive and potentially dangerous for operators who sometimes need to reach inaccessible areas. UAVs equipped with low-cost GNSS/IMU sensors can provide information about position and attitude of the images. This telemetry information is not enough for a photogrammetric restitution with a centimetric accuracy, but it can be usefully exploited when a lower accuracy is required. The algorithm proposed in this paper aims at improving the quality of this information, in order to introduce it into a direct-photogrammetric process, without collecting GCPs. In particular, the estimation of an optimal trajectory is obtained by combining the camera positions derived from UAV telemetry and from the relative orientation of the acquired images, by means of a least squares adjustment. Then, the resulting trajectory is used as a direct observation of the camera positions into a commercial software, thus replacing the information of GCPs. The algorithm has been tested on different datasets, comparing the classical photogrammetric solution (with GCPs) with the proposed one. These case-studies showed that using the improved trajectory as input to the commercial software (without GCPs) the reconstruction of the three-dimensional model can be improved with respect to the solution computed by using the UAV raw telemetry only.

A Method of Interactive Surface Free-Form Deformation Based on Control Point and Neighborhood Constraints

2011 ◽  
Vol 338 ◽  
pp. 277-281
Author(s):  
Chao Hua Peng ◽  
Fei Liu ◽  
Li Li
Keyword(s):  
Control Point ◽  
Three Dimensional ◽  
Free Form ◽  
Control Points ◽  
Deformation Method ◽  
Face Modeling ◽  
Free Form Deformation ◽  
Local Modification ◽  
Interactive Surface ◽  
Three Dimensional Models

In view of the problem that it’s hard to determine the control points and morphing is not intuitionistic in traditional surface free-form deformation technology, an interactive surface free-form deformation method is proposed in this paper. Using this method, the user no longer needs to dynamically set constraint points outside the model. The point picked up by the user according to the desired deformation is used as a control point, and the neighborhood range of deformation or the deformation shape is controlled by deformation function. The designer can interactively deform the model simply by setting control parameters. The experiment results by applying the method to face modeling show that the proposed method is feasible and effective, providing a convenient way for the local modification of three-dimensional models.

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