Comparison of spatial reconstruction software packages using DSLR images

Somogyi, Árpád; Lovas, Tamás; Barsi, Árpád

doi:10.1556/606.2017.12.2.2

Cited by 8 publications

(8 citation statements)

References 31 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: 99%

“…In case of the two photo based methods, point cloud and model could be created by reconstruction from multiple images technology using appropriate software, e.g. Agisoft Photoscan, Pix4D, Autodesk Remake and Visual SfM (Somogyi et al, 2017, Wikipedia, 2017, Jeon et al, 2017; for this study, Photoscan has been used for generating model from mobile pictures and Pix4D for the Camera model. Unscaled point clouds and models could be exported from these software, they must be scaled afterwards.…”

Section: Modellingmentioning

confidence: 99%

See 1 more Smart Citation

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: 99%

Section: Modellingmentioning

confidence: 99%

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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show abstract

“…In this study, the software calculation processes [10]- [12] are not explained, because the purpose was to give an overview and guidance for the architects about the photogrammetric survey process in general. Fig.…”

Section: Methodology and Process Overviewmentioning

confidence: 99%

Photogrammetry possibilities and rules focusing on architectural usage

Rák

Szilágyi

2020

Pollack Periodica

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The article is presenting a consideration of the photogrammetry technology in the field of architectural usage. The technology overview is describing a basic knowledge to support the professionals. The processes, rules and best practices are examined through case studies, which introduce a dwelling house, an old precast concrete hall and a landscape surveying to cover most of the architectural usage. The purpose of the research is to give guidance for technical possibilities and assists in the development of the methodologies. The main part of the article is focusing on unmanned aerial vehicles as these tools provide many useful features.

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“…Therefore, development of data processing applications is also very important (e.g. [4], [5]), because to be able to use of data effectively, raw data has to be enriched to provide the user with a higher level of interactive possibilities.…”

Section: R Honti J Erdélyi a Kopáčikmentioning

confidence: 99%

Plane segmentation from point clouds

2018

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Recently, attempts have been made to automate data acquisition, which is also related to efforts to automate data processing. The paper deals with the automation of terrestrial laser scanning data processing. The approaches for point cloud segmentation are briefly described. An algorithm based on random sample consensus is proposed for automated plane identification and plane segmentation from point clouds. The proposed approach was tested by processing point clouds; the results of the testing are also described. Based on the proposed algorithm, a standalone application for automated plane segmentation from laser scanner data using Matlab ® software was developed.

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Comparison of spatial reconstruction software packages using DSLR images

Cited by 8 publications

References 31 publications

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

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

Photogrammetry possibilities and rules focusing on architectural usage

Plane segmentation from point clouds

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