Study on 3D Point Clouds Accuracy of Elongated Object Reconstruction in Close Range – Comparison of Different Software

Gabara, Grzegorz; Sawicki, Piotr

doi:10.3846/enviro.2017.188

Cited by 3 publications

(4 citation statements)

References 7 publications

(5 reference statements)

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“…At the initial stage of research, many different configurations of multiple photos were tested (for example [ 16 ]) to get the best results of image-based point clouds generation in commonly used software systems, and only the best one is presented in this paper. The following selection criteria of the optimization were assumed: the smallest number of applied photos, deviation on control points, and the quality of generated point clouds for the 3D rail reconstruction.…”

Section: Acquisition Measurement and Processing Of Digital Imagesmentioning

confidence: 99%

“…The RealityCapture is quite a new application on the market, but it has enjoyed very good opinions among the users, and PhotoScan is a well-known and very popular suite. We tested them with some other application before [ 16 , 37 ] and after that we decided to use them for the verification of our measuring method. Both applications are dedicated, first of all, to reconstruction of 3D objects based on a large number of variously oriented digital images.…”

Section: Acquisition Measurement and Processing Of Digital Imagesmentioning

confidence: 99%

“…An important task and research problem is testing the accuracy of point clouds generation from dense image matching and data processing for 3D surface reconstruction in close range and searching for new areas of practical implementation of that method. This task was initially realized in our previous work [ 16 ]. In this paper, we extend it by the following: the result of proposed photos configuration, the results of study on 3D point clouds accuracy, the visualization and analytical analysis of quality and accuracy of railway track 3D models, discussion of the obtained results in relation to technical standards, the scheme of a proposed concept of a mobile vision system, and the final results of testing proposed image-based point clouds measuring method.…”

Section: Introductionmentioning

confidence: 99%

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A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds

Gabara

Sawicki

2018

Sensors

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The paper presents the results of testing a proposed image-based point clouds measuring method for geometric parameters determination of a railway track. The study was performed based on a configuration of digital images and reference control network. A DSLR (digital Single-Lens-Reflex) Nikon D5100 camera was used to acquire six digital images of the tested section of railway tracks. The dense point clouds and the 3D mesh model were generated with the use of two software systems, RealityCapture and PhotoScan, which have implemented different matching and 3D object reconstruction techniques: Multi-View Stereo and Semi-Global Matching, respectively. The study found that both applications could generate appropriate 3D models. Final meshes of 3D models were filtered with the MeshLab software. The CloudCompare application was used to determine the track gauge and cant for defined cross-sections, and the results obtained from point clouds by dense image matching techniques were compared with results of direct geodetic measurements. The obtained RMS difference in the horizontal (gauge) and vertical (cant) plane was RMS∆ < 0.45 mm. The achieved accuracy meets the accuracy condition of measurements and inspection of the rail tracks (error m < 1 mm), specified in the Polish branch railway instruction Id-14 (D-75) and the European technical norm EN 13848-4:2011.

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Section: Acquisition Measurement and Processing Of Digital Imagesmentioning

confidence: 99%

Section: Acquisition Measurement and Processing Of Digital Imagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds

Gabara

Sawicki

2018

Sensors

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“…Another approach to the comparison considers the study of several datasets relative to objects of different complexity and scale, in which different significant parameters change, such as, mainly, the number of images and the cameras positions with respect to the scene (Remondino et al, 2014, Schöning et al, 2015. Additionally, Gabara et al (2017) focuses the attention on the reproduction of particular inconvenient conditions, such as: small, flat, elongated and horizontally oriented close range object; disadvantageous configuration of photos; control points located approximately on a plane; use of non-metric, mediumresolution digital single-lens reflex camera; difficult geometric and radiometric conditions of digital multi image matching. Lastly, some authors focus only on a specific output, i.e.…”

Section: State Of the Art On Photogrammetric Software Comparisonmentioning

confidence: 99%

3d Cultural Heritage Documentation: A Comparison Between Different Photogrammetric Software and Their Products

Gagliolo

Ausonio

Federici

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The conservation of Cultural Heritage depends on the availability of means and resources and, consequently, on the possibility to make effective operations of data acquisition. In facts, on the one hand the creation of data repositories allows the description of the present state-of-art, in order to preserve the testimonial value and to permit the fruition. On the other hand, data acquisition grants a metrical knowledge, which is particularly useful for a direct restoration of the surveyed objects, through the analysis of their 3D digital models. In the last decades, the continuous increase and improvement of 3D survey techniques and of tools for the geometric and digital data management have represented a great support to the development of documentary activities. In particular, Photogrammetry is a survey technique highly appropriate in the creation of data repositories in the field of Cultural Heritage, thanks to its advantages of cheapness, flexibility, speed, and the opportunity to ensure the operators' safety in hazardous areas too. In order to obtain a complete documentation, the high precision of the on-site operations must be coupled with an effective post-processing phase. Hence, a comparison among some of the photogrammetric software currently available was performed by the authors, with a particular attention to the workflow completeness and the final products quality.

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CRBeDaSet: A Benchmark Dataset for High Accuracy Close Range 3D Object Reconstruction

Gabara

Sawicki

2023

Remote Sensing

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This paper presents the CRBeDaSet—a new benchmark dataset designed for evaluating close range, image-based 3D modeling and reconstruction techniques, and the first empirical experiences of its use. The test object is a medium-sized building. Diverse textures characterize the surface of elevations. The dataset contains: the geodetic spatial control network (12 stabilized ground points determined using iterative multi-observation parametric adjustment) and the photogrammetric network (32 artificial signalized and 18 defined natural control points), measured using Leica TS30 total station and 36 terrestrial, mainly convergent photos, acquired from elevated camera standpoints with non-metric digital single-lens reflex Nikon D5100 camera (ground sample distance approx. 3 mm), the complex results of the bundle block adjustment with simultaneous camera calibration performed in the Pictran software package, and the colored point clouds (ca. 250 million points) from terrestrial laser scanning acquired using the Leica ScanStation C10 and post-processed in the Leica Cyclone™ SCAN software (ver. 2022.1.1) which were denoized, filtered, and classified using LoD3 standard (ca. 62 million points). The existing datasets and benchmarks were also described and evaluated in the paper. The proposed photogrammetric dataset was experimentally tested in the open-source application GRAPHOS and the commercial suites ContextCapture, Metashape, PhotoScan, Pix4Dmapper, and RealityCapture. As the first experience in its evaluation, the difficulties and errors that occurred in the software used during dataset digital processing were shown and discussed. The proposed CRBeDaSet benchmark dataset allows obtaining high accuracy (“mm” range) of the photogrammetric 3D object reconstruction in close range, based on a multi-image view uncalibrated imagery, dense image matching techniques, and generated dense point clouds.

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Study on 3D Point Clouds Accuracy of Elongated Object Reconstruction in Close Range – Comparison of Different Software

Cited by 3 publications

References 7 publications

A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds

A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds

3d Cultural Heritage Documentation: A Comparison Between Different Photogrammetric Software and Their Products

CRBeDaSet: A Benchmark Dataset for High Accuracy Close Range 3D Object Reconstruction

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