3D Terrestrial Laser Technology in Sporting Craft 3D Modelling

Arias, Pedro

doi:10.2507/ijsimm06(2)s.01

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…The accuracy of the images produced was tested using a terrestrial laser scanner, which has been recognized as the “gold standard” in large‐scale geodetic imaging. Metrology of terrestrial laser scanners has been previously evaluated in other research fields and show high accuracies .…”

Section: Methodsmentioning

confidence: 99%

Single‐Image Rectification Technique in Forensic Science

González-Jorge

Puente

Eguía

et al. 2013

Journal of Forensic Sciences

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Many researchers have been working in Spain to document the communal graves of those assassinated during the Spanish Civil War. This article shows the results obtained with two low-cost photogrammetric techniques for the basic documentation of forensic studies. These low-cost techniques are based on single-image rectification and the correction of the original photo displacement due to the projection and perspective distortions introduced by the lens of the camera. The capability of image rectification is tested in an excavation in the village of Loma de Montija (Burgos, Spain). The results of both techniques are compared with the more accurate data obtained from a laser scanner system RIEGL LMS-Z390i to evaluate the error in the lengths. The first technique uses a camera situated on a triangle-shaped pole at a height of 5 m and the second positions the camera over the grave using a linearly actuated device. The first technique shows measurement errors less than 6%, whereas the second shows greater errors (between 8% and 14%) owing to the positioning of the carbon-fiber cross on an uneven surface.

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Section: Methodsmentioning

confidence: 99%

Single‐Image Rectification Technique in Forensic Science

González-Jorge

Puente

Eguía

et al. 2013

Journal of Forensic Sciences

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“…The scanned test field is composed of the plane and the semi-sphere which are commonly used geometrical shapes for point cloud registration and segmentation [2,[15][16][17] and calibrating measurement systems [25]. The radius of the semi-sphere (49.70 mm  0.05 mm) was measured with callipers.…”

Section: Methodsmentioning

confidence: 99%

“…Close range photogrammetry (image matching methods) [1] and terrestrial laser scanning are appropriate [2,3] when we need to quickly gather large quantities of data in a small area. In both cases the measurement results are points in a 3-D space or point cloud.…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Input Parameters Selection on the RANSAC Results

Urbančič¹,

Fras²,

Stopar³

2014

Int. j. simul. model.

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The RANSAC (RANdom SAmpling and Consensus) enables us to search within a given group of points for subgroups of points that belong to a mathematically describable object or a part of an object. The number of iterations within a single repetition depends on the data, selection and settings of the input parameters (percentage of inliers, probability and minimum number of points that uniquely define a geometrical shape). In our research we applied simulation modelling to analyse the influence of the selection of input parameters on the approximation of the sphere and plane models.

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“…When TLS laser scanners were introduced on the market, their performances were rather poor, having in general a measurement uncertainty in the range of centimeters. However, with the progressive improvement of technology and the consequent increase in the measurement precision, the potential range of purposes has been widened from some meters to hundreds of meters in forensics [ 1 ], forestry [ 2 ], environment [ 3 , 4 ] geology [ 5 ], structure analysis [ 6 , 7 ], ship building [ 8 ] and archaeological applications [ 9 , 10 ]. A complete overview of the TLS technology and processing methods, as well as applications, is presented in Volsseman and Maas [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs

Cuartero

Armesto

Rodríguez

et al. 2010

Sensors

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This paper presents a complete analysis of the positional errors of terrestrial laser scanning (TLS) data based on spherical statistics and 3D graphs. Spherical statistics are preferred because of the 3D vectorial nature of the spatial error. Error vectors have three metric elements (one module and two angles) that were analyzed by spherical statistics. A study case has been presented and discussed in detail. Errors were calculating using 53 check points (CP) and CP coordinates were measured by a digitizer with submillimetre accuracy. The positional accuracy was analyzed by both the conventional method (modular errors analysis) and the proposed method (angular errors analysis) by 3D graphics and numerical spherical statistics. Two packages in R programming language were performed to obtain graphics automatically. The results indicated that the proposed method is advantageous as it offers a more complete analysis of the positional accuracy, such as angular error component, uniformity of the vector distribution, error isotropy, and error, in addition the modular error component by linear statistics.

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3D Terrestrial Laser Technology in Sporting Craft 3D Modelling

Cited by 6 publications

References 9 publications

Single‐Image Rectification Technique in Forensic Science

Single‐Image Rectification Technique in Forensic Science

The Influence of the Input Parameters Selection on the RANSAC Results

Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs

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