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

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.

2014 ◽  
Vol 1073-1076 ◽  
pp. 1934-1940 ◽  
Author(s):  
Wei Dong Li ◽  
Nan Lin ◽  
Xu Chen

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.


2018 ◽  
Vol 162 ◽  
pp. 03027
Author(s):  
Abbas Khalaf ◽  
Tariq Ataiwe ◽  
Israa Mohammed ◽  
Ali Kareem

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.


2011 ◽  
Vol 6 ◽  
pp. 185-192
Author(s):  
Melanie Kirchhöfer ◽  
Jim Chandler ◽  
Rene Wackrow

Cultural heritage is under a constant threat of damage or even destruction and comprehensive and accurate recording is necessary to attenuate the risk of losing heritage or serve as basis for reconstruction. Cost effective and easy to use methods are required to record cultural heritage, particularly during a world recession, and close-range photogrammetry has proven potential in this area. Off-the-shelf digital cameras can be used to rapidly acquire data at low cost, allowing non-experts to become involved. Exterior orientation of the camera during exposure ideally needs to be established for every image, traditionally requiring known coordinated target points. Establishing these points is time consuming and costly and using targets can be often undesirable on sensitive sites. MEMS-based sensors can assist in overcoming this problem by providing small-size and low-cost means to directly determine exterior orientation for close-range photogrammetry. This paper describes development of an image-based recording system, comprising an off-the-shelf digital SLR camera, a MEMS-based 3D orientation sensor and a GPS antenna. All system components were assembled in a compact and rigid frame that allows calibration of rotational and positional offsets between the components. The project involves collaboration between English Heritage and Loughborough University and the intention is to assess the system’s achievable accuracy and practicability in a heritage recording environment. Tests were conducted at Loughborough University and a case study at St. Catherine’s Oratory on the Isle of Wight, UK. These demonstrate that the data recorded by the system can indeed meet the accuracy requirements for heritage recording at medium accuracy (1-4cm), with either a single or even no control points. As the recording system has been configured with a focus on low-cost and easy-to-use components, it is believed to be suitable for heritage recording by non-specialists. This offers the opportunity for lay people to become more involved in their local heritage, an important aspiration identified by English Heritage. Recently, mobile phones (smartphones) with integrated camera and MEMS-based orientation and positioning sensors have become available. When orientation and position during camera exposure is extracted, these phones establish off-the-shelf systems that can facilitate image-based recording with direct exterior orientation determination. Due to their small size and low-cost they have potential to further enhance the involvement of lay-people in heritage recording. The accuracy currently achievable will be presented also.


2011 ◽  
Vol 338 ◽  
pp. 277-281
Author(s):  
Chao Hua Peng ◽  
Fei Liu ◽  
Li Li

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.


1996 ◽  
Vol 118 (3) ◽  
pp. 146-150 ◽  
Author(s):  
M. R. Shortis ◽  
G. H. G. Johnston

Close range photogrammetry is a sensing technique that allows the three-dimensional coordinates of selected points on a surface of almost any dimension and orientation to be assessed. Surface characterisations of paraboloidal reflecting surfaces at the ANU using photogrammetry have indicated that three-dimensional coordinate precisions approaching 1:20,000 are readily achievable using this technique. This allows surface quality assessments to be made of large solar collecting devices with a precision that is difficult to achieve with other methods.


Author(s):  
L. M. Galantucci ◽  
F. Lavecchia ◽  
G. Percoco

Considerable research effort has been focused on evaluating the accuracy of meso- and macroscale digital close range photogrammetry. However, evaluations of accuracy and applications in the submillimeter scale are rare. In this paper the authors propose the development of a three-dimensional (3D) photogrammetric scanner, based on macrolens cameras, able to reconstruct the three-dimensional surface topography of objects with submillimeter features. The system exploits multifocal image composition and has been designed for installation on all types of Numerical Controlled or Robotic systems. The approach is exploitable for digitizing submillimeter features at mesoscale as well as macroscale objects.


Author(s):  
C. C. Huang ◽  
Y. J. Li ◽  
S. H. Tang ◽  
Y. Zhang ◽  
Y. Xiao

Abstract. Aiming at the high demand of close-range photogrammetry for the object control points and the inconvenient carrying of digital camera to take photogrammetry in the field, a method of detail survey based on PhotoModeler Scanner software is proposed. USB camera combines with the centering rod, USB camera captures image data, Total station obtains the coordinates of the centering rod, the coordinate of projective center is calculated by using the coordinate of the centering rod, PhotoModeler Scanner software processes image data and coordinate data. Ultimately, image stereo measurement of the no object control point was realized. The experimental results showed that the error of the plane position of the solved target point was less than 10cm at a shooting distance of about 10m, and it met the accuracy requirements of detail survey. Therefore, the method can reduce the workload of field detail survey, reduce the cost and volume of the photographic equipment, and has certain application value.


Author(s):  
B. Leroux ◽  
J. Cali ◽  
J. Verdun ◽  
L. Morel ◽  
H. He

Airborne LiDAR systems require the use of Direct Georeferencing (DG) in order to compute the coordinates of the surveyed point in the mapping frame. An UAV platform does not derogate to this need, but its payload has to be lighter than this installed onboard so the manufacturer needs to find an alternative to heavy sensors and navigation systems. For the georeferencing of these data, a possible solution could be to replace the Inertial Measurement Unit (IMU) by a camera and record the optical flow. The different frames would then be processed thanks to photogrammetry so as to extract the External Orientation Parameters (EOP) and, therefore, the path of the camera. The major advantages of this method called Visual Odometry (VO) is low cost, no drifts IMU-induced, option for the use of Ground Control Points (GCPs) such as on airborne photogrammetry surveys. In this paper we shall present a test bench designed to assess the reliability and accuracy of the attitude estimated from VO outputs. The test bench consists of a trolley which embeds a GNSS receiver, an IMU sensor and a camera. The LiDAR is replaced by a tacheometer in order to survey the control points already known. We have also developped a methodology applied to this test bench for the calibration of the external parameters and the computation of the surveyed point coordinates. Several tests have revealed a difference about 2–3 centimeters between the control point coordinates measured and those already known.


Author(s):  
I.-C. Lee ◽  
F. Tsai

A series of panoramic images are usually used to generate a 720° panorama image. Although panoramic images are typically used for establishing tour guiding systems, in this research, we demonstrate the potential of using panoramic images acquired from multiple sites to create not only 720° panorama, but also three-dimensional (3D) point clouds and 3D indoor models. Since 3D modeling is one of the goals of this research, the location of the panoramic sites needed to be carefully planned in order to maintain a robust result for close-range photogrammetry. After the images are acquired, panoramic images are processed into 720° panoramas, and these panoramas which can be used directly as panorama guiding systems or other applications. <br><br> In addition to these straightforward applications, interior orientation parameters can also be estimated while generating 720° panorama. These parameters are focal length, principle point, and lens radial distortion. The panoramic images can then be processed with closerange photogrammetry procedures to extract the exterior orientation parameters and generate 3D point clouds. In this research, VisaulSFM, a structure from motion software is used to estimate the exterior orientation, and CMVS toolkit is used to generate 3D point clouds. Next, the 3D point clouds are used as references to create building interior models. In this research, Trimble Sketchup was used to build the model, and the 3D point cloud was added to the determining of locations of building objects using plane finding procedure. In the texturing process, the panorama images are used as the data source for creating model textures. This 3D indoor model was used as an Augmented Reality model replacing a guide map or a floor plan commonly used in an on-line touring guide system. <br><br> The 3D indoor model generating procedure has been utilized in two research projects: a cultural heritage site at Kinmen, and Taipei Main Station pedestrian zone guidance and navigation system. The results presented in this paper demonstrate the potential of using panoramic images to generate 3D point clouds and 3D models. However, it is currently a manual and labor-intensive process. A research is being carried out to Increase the degree of automation of these procedures.


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