Accuracy Analysis of 3D Position of Close-range Photogrammetry Using Direct Linear Transformation and Self-calibration Bundle Adjustment with Additional Parameters

2015 ◽  
Vol 23 (2) ◽  
pp. 27-38
Author(s):  
Hyuk Gil Kim ◽  
Jin Sang Hwang ◽  
Hong Sic Yun
Keyword(s):  
Linear Transformation ◽  
Bundle Adjustment ◽  
Accuracy Analysis ◽  
Close Range Photogrammetry ◽  
Self Calibration ◽  
Close Range

On the Use of Nonmetric Cameras in Analytical Close-Range Photogrammetry

1982 ◽  
Vol 36 (3) ◽  
pp. 259-279 ◽  
Author(s):  
C.S. Fraser
Keyword(s):  
Analytical Data ◽  
High Accuracy ◽  
Bundle Adjustment ◽  
Mixed Block ◽  
Type Method ◽  
Close Range Photogrammetry ◽  
Self Calibration ◽  
Reduction Techniques ◽  
Accuracy And Precision ◽  
Close Range

Analytical data reduction techniques have facilitated the use of nonmetric, amateur cameras in applications of precision photogrammetry. This paper discusses the analytical restitution of close-range nonmetric imagery. Initially, aspects of the mathematical formulations of both the self-calibrating bundle adjustment and sequential DLT-type methods are reviewed and statistical considerations are outlined. A self-calibration approach using mixed block- and photo-invariant additional parameters is proposed, and an experiment conducted to test the accuracy and precision of this technique is detailed. The experiment involved the multistation phototriangulation of nonmetric Hasselblad 500 ELM images, using both self-calibration and a DLT-type method. Relative accuracies in the object space were found to be of the order of 1:10 000 and higher for the former approach and 1:6000 for the latter. Further results of this experiment, which lend weight to the contention that nonmetric cameras are capable of producing results of high accuracy, are discussed and general conclusions are drawn.

Strain Measurement for Sheet Metal Forming Based on Close Range Photogrammetry

2013 ◽  
Vol 475-476 ◽  
pp. 148-155 ◽  
Author(s):  
Da Cheng Li ◽  
Jin Liang ◽  
Hao Hu ◽  
Zheng Zong Tang ◽  
Xiang Guo ◽  
...  
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Strain Measurement ◽  
Bundle Adjustment ◽  
Surface Strain ◽  
Forming Process ◽  
Epipolar Constraint ◽  
Close Range Photogrammetry ◽  
Close Range

To improve efficiency and automation of the 3D full-field surface strain measurement for sheet metal forming, a new grid strain measuring scheme was developed based on the close-range photogrammetry technology. A Local Canny Detector algorithm was proposed for grid nodes and coded targets detection. A 10-parameters nonlinear camera model and the bundle adjustment algorithm were used to optimize the calibration parameters. A multi-epipolar constraint method was employed for grid node matching. Finally, the surface strains were calculated according to the changes of the grid sizes. To evaluate the performance of the proposed scheme, a stamping forming experiment was conducted. Experimental results show that the scheme can provide a non-contact, intuitive and effective solution for strain measurement in sheet metal forming process.

scholarly journals A SIMULATION TOOL ASSISTING THE DESIGN OF A CLOSE RANGE PHOTOGRAMMETRY SYSTEM FOR THE SARDINIA RADIO TELESCOPE

2016 ◽  
Vol III-5 ◽  
pp. 113-120 ◽  
Author(s):  
F. Buffa ◽  
A. Pinna ◽  
G. Sanna
Keyword(s):  
Radio Telescope ◽  
Active Surface ◽  
Optimal Shape ◽  
Bundle Adjustment ◽  
Simulation Tool ◽  
Simulation Environment ◽  
Close Range Photogrammetry ◽  
Large Structures ◽  
Close Range ◽  
Realistic Images

The Sardinia Radio Telescope (SRT) is a 64 m diameter antenna, whose primary mirror is equipped with an active surface capable to correct its deformations by means of a thick network of actuators. Close range photogrammetry (CRP) was used to measure the self-load deformations of the SRT primary reflector from its optimal shape, which are requested to be minimized for the radio telescope to operate at full efficiency. In the attempt to achieve such performance, we conceived a near real-time CRP system which requires the cameras to be installed in fixed positions and at the same time to avoid any interference with the antenna operativeness. The design of such system is not a trivial task, and to assist our decision we therefore developed a simulation pipeline to realistically reproduce and evaluate photogrammetric surveys of large structures. The described simulation environment consists of (i) a detailed description of the SRT model, included the measurement points and the camera parameters, (ii) a tool capable of generating realistic images accordingly to the above model, and (iii) a self-calibrating bundle adjustment to evaluate the performance in terms of RMSE of the camera configurations.

Photogrammetric Method with Distance Constraint for Profile of Inflatable Space Antenna

2008 ◽  
Vol 381-382 ◽  
pp. 313-316 ◽  
Author(s):  
Wen Yi Deng ◽  
Ming Li Dong ◽  
Nai Guang Lu ◽  
Y.Q. Wang
Keyword(s):  
Optimal Solution ◽  
Bundle Adjustment ◽  
Distance Constraint ◽  
Space Antenna ◽  
Close Range Photogrammetry ◽  
Flexible Surface ◽  
Close Range ◽  
Photogrammetric Method ◽  
Two Parameters ◽  
Measuring Force

The inflatable space antenna is gradually used in various spacecrafts because it is portable and foldaway. It is usually made of thin-film materials and has a flexible surface, so that measuring force is not tolerable in measurement process. Close-range photogrammetry is considered as an optimal solution because of its advantages of non-contact operation and fast data acquisition. To improve measuring precision, a method combining bundle adjustment algorithm and the distance constraint is presented in the paper. Two experiments under different conditions are accomplished and experiment results are compared. One experiment is completed with the distance constraint and another without. The experiment results are compared by two parameters: tightness and residuals. The measured object is an inflatable antenna with a 3.5-m diameter.

scholarly journals Underexposed Vision-Based Sensors’ Image Enhancement for Feature Identification in Close-Range Photogrammetry and Structural Health Monitoring

2021 ◽  
Vol 11 (23) ◽  
pp. 11086
Author(s):  
Luna Ngeljaratan ◽  
Mohamed A. Moustafa
Keyword(s):  
Structural Health Monitoring ◽  
Image Enhancement ◽  
Health Monitoring ◽  
Bundle Adjustment ◽  
Practical Implementation ◽  
Identification Algorithm ◽  
Feature Identification ◽  
Structural Health ◽  
Close Range Photogrammetry ◽  
Close Range

This paper describes an alternative structural health monitoring (SHM) framework for low-light settings or dark environments using underexposed images from vision-based sensors based on the practical implementation of image enhancement algorithms. The proposed framework was validated by two experimental works monitored by two vision systems under ambient lights without assistance from additional lightings. The first experiment monitored six artificial templates attached to a sliding bar that was displaced by a standard one-inch steel block. The effect of image enhancement in the feature identification and bundle adjustment integrated into the close-range photogrammetry were evaluated. The second validation was from a seismic shake table test of a full-scale three-story building tested at E-Defense in Japan. Overall, this study demonstrated the efficiency and robustness of the proposed image enhancement framework in (i) modifying the original image characteristics so the feature identification algorithm is capable of accurately detecting, locating and registering the existing features on the object; (ii) integrating the identified features into the automatic bundle adjustment in the close-range photogrammetry process; and (iii) assessing the measurement of identified features in static and dynamic SHM, and in structural system identification, with high accuracy.

scholarly journals ACHIEVING CLOSE RANGE PHOTOGRAMMETRY WITH NON-METRIC MOBILE PHONE CAMERAS

2021 ◽  
Vol 47 (2) ◽  
pp. 71-79
Author(s):  
Joseph Olayemi Odumosu ◽  
Oluibukun Gbenga Ajayi ◽  
Victor Chukwuemeka Nnam ◽  
Samuel Ajayi
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Statistical Tests ◽  
Bundle Adjustment ◽  
Least Square ◽  
Adjustment Process ◽  
Current Increase ◽  
Close Range Photogrammetry ◽  
Significant Difference ◽  
Close Range

Close range photogrammetry (CRP) has gained increasing relevance over the years with its principles and theories being applied in diverse applications. Further supporting this trend, the current increase in the wide spread usage of mobile phones with high resolution cameras is expected to further popularize positioning by CRP. This paper presents the results of an experimental study wherein two (2) non-metric mobile phone cameras have been used to determine the 3-D coordinates of points on a building by using the collinearity condition equation in an iterative least square bundle adjustment process in MATLAB software environment. The two (2) mobile phones used were Tecno W3 and Infinix X509 phones with focal lengths of 5.432 mm and 8.391 mm respectively. Statistical tests on the results obtained shows that there is no significant difference between the 3-D coordinates obtained by ground survey and those obtained from both cameras at 99% confidence level. Furthermore, the study confirmed the capability of non-metric mobile phone cameras to determine 3D point positions to centimeter level accuracy (with maximum residuals of 11.8 cm, 31.0 cm, and 5.9 cm for the Tecno W3 camera and 14.6 cm, 16.1 cm and 1.8 cm for the Infinix X509 camera in the Eastings, Northings and Heights respectively).

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