Comparison between two non-contact techniques for art digitalization

Bianconi, Fabio; Catalucci, Sofia; Filippucci, Marco; Marsili, Roberto; Moretti, Michèle; Rossi, Gianluca; Speranzini, Emanuela

doi:10.1088/1742-6596/882/1/012005

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…It does not mean that mobile images generally enable better models; the applied software has a great impact on the model attributes. There are studies (Somogyi et al, 2017, Barazzetti et al, 2010, Bianconi, et al, 2017 about the effect of combination of devices and software, this is not detailed in the current study; just two available 3D dense models have been tested. The conclusion can be deducted that models generated from images (camera and mobile) by pixelbased 3D reconstruction technology have almost the same accuracy and resolution and they can compete with the ScanArm model in many potential applications.…”

Section: Evaluation Of Resultsmentioning

confidence: 98%

Capturing Fine Details Involving Low-Cost Sensors –A Comparative Study

Rehány

Barsi

Lovas

2017

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

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ABSTRACT:Capturing the fine details on the surface of small objects is a real challenge to many conventional surveying methods. Our paper discusses the investigation of several data acquisition technologies, such as arm scanner, structured light scanner, terrestrial laser scanner, object linescanner, DSLR camera, and mobile phone camera. A palm-sized embossed sculpture reproduction was used as a test object; it has been surveyed by all the instruments. The result point clouds and meshes were then analyzed, using the arm scanner's dataset as reference. In addition to general statistics, the results have been evaluated based both on 3D deviation maps and 2D deviation graphs; the latter allows even more accurate analysis of the characteristics of the different data acquisition approaches. Additionally, own-developed local minimum maps were created that nicely visualize the potential level of detail provided by the applied technologies. Besides the usual geometric assessment, the paper discusses the different resource needs (cost, time, expertise) of the discussed techniques. Our results proved that even amateur sensors operated by amateur users can provide high quality datasets that enable engineering analysis. Based on the results, the paper contains an outlook to potential future investigations in this field.

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Section: Evaluation Of Resultsmentioning

confidence: 98%

Capturing Fine Details Involving Low-Cost Sensors –A Comparative Study

Rehány

Barsi

Lovas

2017

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

View full text Add to dashboard Cite

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“…Each commercial software uses its own tuning set of algorithms for the registration, which leads to different results between them. The tuning of this control is in some cases difficult; to overcome this problem, a MATLAB code, developed by authors in a previous study, was applied to obtain complete control of the algorithms [51]. Specifically [52,53,54,55,56], the MATLAB code was based on registration algorithms using an iterative approach (ICP) similar to commercial software.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the Accuracy of Four Digital Methods by Linear and Volumetric Analysis of Dental Impressions

et al. 2019

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The quality of dental arch impression has a substantial role in the precision of the intervention. It is traditionally acquired with resins that solidify when in contact with the air. Compared to that method, digital impression gives great advantages and, together with three-dimensional (3D) digitization devices, allows a simplification of the digital impression process. The growing adoption of such systems by a large number of dental clinics determines the need for an in-depth evaluation of the accuracy and the precision of the different systems. The aim of this work is to define a methodology for the evaluation of the accuracy and precision of 3D intraoral and desktop scanning systems, by using volumetric and linear methods. The replica of a tooth was realized with zirconium; afterward, high-accuracy point clouds of the master model were acquired by a coordinate measurement machine (CMM). In this way, the dimensions of the replica were accurately known. An intraoral scanner (I) and three desktops (D1, D2, D3) were then used to scan the replica. The geometry resulting from the CMM was compared with the ones derived from the scanners, using two different commercial programs (Geomagic and 3-Matic) and a custom-developed algorithm (MATLAB). Geomagic showed the mean values to be in a range from 0.0286 mm (D1) to 0.1654 mm (I), while 3-Matic showed mean values from −0.0396 mm (D1) to 0.1303 mm (I). MATLAB results ranged from 0.00014 mm (D1) to 0.00049 mm (D2). The probability distributions of the volumetric error of the measurements obtained with the different scanners allow a direct comparison of their performances. For the results given by our study, the volumetric approach that we adopted appears to be an excellent system of analysis.

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“…To control the reconstruction process, the user has direct access to multiple, explicit reconstruction parameters. The components in (1), (2) and (3) are wrapped within VisualSFM, which provides a user‐friendly graphic interface to control the reconstruction. According to software benchmarks (Schöning and Heidemann, ; Terpstra et al., ; Bianconi et al., ), the VisualSFM workflow provides high‐quality results in terms of their accuracy and precision, but, in general, the performance of SfM software can be highly case‐dependent.…”

Section: Methodsmentioning

confidence: 99%

Focus stacking photogrammetry for micro‐scale roughness reconstruction: a methodological study

Olkowicz

Dąbrowski

Pluymakers

2019

The Photogrammetric Record

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In close‐range applications, it is unclear whether optical photogrammetry is capable of accurately reconstructing submillimetre‐scale roughness. This paper presents a study of fine‐scale rock fracture roughness measurements with a careful assessment of the error. The workflow combines the techniques of structure from motion with focus stacking, using consumer‐grade equipment and free or affordable software. The approach is tested firstly with synthetic data to check the influence of the number and position of cameras, object texture and image processing using focus stacking. Secondly, the optimised workflow is used to measure a natural shale rock fracture surface. To estimate the accuracy, the results were compared with a high‐precision reference dataset provided by white‐light interferometry. The standard deviation of error in the method is 6·5 μm, and is related with morphological structures with wavelengths below 150 μm and amplitudes smaller than 10 μm.

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Comparison between two non-contact techniques for art digitalization

Cited by 10 publications

References 3 publications

Capturing Fine Details Involving Low-Cost Sensors –A Comparative Study

Capturing Fine Details Involving Low-Cost Sensors –A Comparative Study

Evaluation of the Accuracy of Four Digital Methods by Linear and Volumetric Analysis of Dental Impressions

Focus stacking photogrammetry for micro‐scale roughness reconstruction: a methodological study

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