Correlation Analysis of Camera Self-Calibration in Close Range Photogrammetry

2013 ◽  
Vol 28 (141) ◽  
pp. 86-95 ◽  
Author(s):  
Rongfu Tang ◽  
Dieter Fritsch
Keyword(s):  
Correlation 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.

Performance Dynamic Tracking and Analysis System of Road Traffic Signs

2011 ◽  
Vol 130-134 ◽  
pp. 2404-2408
Author(s):  
Jun Ma ◽  
Wen Ying Su
Keyword(s):  
Road Traffic ◽  
Performance Testing ◽  
Analysis Software ◽  
Traffic Signs ◽  
Detection Algorithms ◽  
Close Range Photogrammetry ◽  
Dynamic Tracking ◽  
Data Acquisition Software ◽  
Close Range ◽  
Analysis System

In view of the heavy workload and possible intervention to the normal traffic flow during the performance testing of road traffic signs, this paper is designed to present a system that can be installed in an automobile and automatically track and analyze the performance of traffic signs. The system consists of a carrying vehicle, GPS, IMU, area-array cameras, frame grabbers, data acquisition software and data analysis software. Based on close-range photogrammetry technology, the system is designed with a set of effective road traffic signs automatic detection algorithms, which can automatically measure and analyze the properties of road traffic signs, such as dimensions, headroom and verticality of the column, etc.

scholarly journals ILRS Reference Point Determination Using Close Range Photogrammetry

2021 ◽  
Vol 11 (6) ◽  
pp. 2785
Author(s):  
Michael Lösler ◽  
Cornelia Eschelbach ◽  
Thomas Klügel ◽  
Stefan Riepl
Keyword(s):  
Reference Point ◽  
Reference Points ◽  
Geodetic Reference System ◽  
Unscented Transformation ◽  
Local Ties ◽  
Close Range Photogrammetry ◽  
Crucial Component ◽  
Space Geodetic Techniques ◽  
Close Range ◽  
Point Determination

A global geodetic reference system (GGRS) is realized by physical points on the Earth’s surface and is referred to as a global geodetic reference frame (GGRF). The GGRF is derived by combining several space geodetic techniques, and the reference points of these techniques are the physical points of such a realization. Due to the weak physical connection between the space geodetic techniques, so-called local ties are introduced to the combination procedure. A local tie is the spatial vector defined between the reference points of two space geodetic techniques. It is derivable by local measurements at multitechnique stations, which operate more than one space geodetic technique. Local ties are a crucial component within the intertechnique combination; therefore, erroneous or outdated vectors affect the global results. In order to reach the ambitious accuracy goal of 1 mm for a global position, the global geodetic observing system (GGOS) aims for strategies to improve local ties, and, thus, the reference point determination procedures. In this contribution, close range photogrammetry is applied for the first time to determine the reference point of a laser telescope used for satellite laser ranging (SLR) at Geodetic Observatory Wettzell (GOW). A measurement campaign using various configurations was performed at the Satellite Observing System Wettzell (SOS-W) to evaluate the achievable accuracy and the measurement effort. The bias of the estimates were studied using an unscented transformation. Biases occur if nonlinear functions are replaced and are solved by linear substitute problems. Moreover, the influence of the chosen stochastic model onto the estimates is studied by means of various dispersion matrices of the observations. It is shown that the resulting standard deviations are two to three times overestimated if stochastic dependencies are neglected.

Application of close range photogrammetry in structural health monitoring by processing generated point cloud datasets

2021 ◽  
Author(s):  
Ali Mirzazade ◽  
Cosmin Popescu ◽  
Thomas Blanksvärd ◽  
Björn Täljsten
Keyword(s):  
Health Monitoring ◽  
Point Cloud ◽  
Laser Scanning ◽  
Point Clouds ◽  
Optical Data ◽  
Small Scale ◽  
Relevant Parameter ◽  
Bridge Inspection ◽  
Close Range Photogrammetry ◽  
Close Range

<p>In bridge inspection, vertical displacement is a relevant parameter for both short and long-term health monitoring. Assessing change in deflections could also simplify the assessment work for inspectors. Recent developments in digital camera technology and photogrammetry software enables point cloud with colour information (RGB values) to be generated. Thus, close range photogrammetry offers the potential of monitoring big and small-scale damages by point clouds. The current paper aims to monitor geometrical deviations in Pahtajokk Bridge, Northern Sweden, using an optical data acquisition technique. The bridge in this study is scanned two times by almost one year a part. After point cloud generation the datasets were compared to detect geometrical deviations. First scanning was carried out by both close range photogrammetry (CRP) and terrestrial laser scanning (TLS), while second scanning was performed by CRP only. Analyzing the results has shown the potential of CRP in bridge inspection.</p>

scholarly journals Close-Range Photogrammetry and Infrared Imaging for Non-Invasive Honeybee Hive Population Assessment

2018 ◽  
Vol 7 (9) ◽  
pp. 350 ◽  
Author(s):  
Luis López-Fernández ◽  
Susana Lagüela ◽  
Pablo Rodríguez-Gonzálvez ◽  
José Martín-Jiménez ◽  
Diego González-Aguilera
Keyword(s):  
Computer Vision ◽  
Infrared Imaging ◽  
Imaging Techniques ◽  
Population Level ◽  
Non Invasive ◽  
Close Range Photogrammetry ◽  
3D Geometry ◽  
Thermographic Imaging ◽  
Close Range ◽  
Bee Colonies

Close-range photogrammetry and thermographic imaging techniques are used for the acquisition of all the data needed for the non-invasive assessment of a honeybee hive population. Temperature values complemented with precise 3D geometry generated using novel close-range photogrammetric and computer vision algorithms are used for the computation of the inner beehive temperature at each point of its surface. The methodology was validated through its application to three reference beehives with different population levels. The temperatures reached by the exterior surfaces of the hives showed a direct correlation with the population level. In addition, the knowledge of the 3D reality of the hives and the position of each temperature value allowed the positioning of the bee colonies without the need to open the hives. This way, the state of honeybee hives regarding the growth of population can be estimated without disturbing its natural development.

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