Integration of Image and Laser Scanning Data Based on Selected Example

Mikrut, S.; Moskal, Agnieszka; Marmol, Urszula

doi:10.1515/ipc-2015-0008

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…Furthermore, a commercial photogrammetry software RealityCapture and the open source photogrammetry software Meshroom were compared. Afterwards it was a matter of integrating the results of photogrammetry into the point cloud of a laser scan [3] . The comparison parameters were extracted from the log data.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Datasets of captured images of three different devices for photogrammetry calculation comparison and integration into a laserscan point cloud of a built environment

2020

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The presented data article aims to provide the whole dataset obtained during an experiment of updating laser scan point clouds with photogrammetry meshes. In this context, the data quality and calculation time of photogrammetry models from different recording devices and different software solutions were compared. It was investigated whether photos from smartphones are also appropriate for updating point clouds by using photogrammetry in a factory environment. The photos of a technical installation were taken in 08:30 min with these three devices: Nikon D810 with Sigma art 24 mm, iPhone 6 and iPhone XS. With each of the mentioned devices, three datasets have been created to provide enough data for the comparisons. One dataset (photos in .TIFF) of the iPhone XS is provided. The results of the datasets are used for a photogrammetry mesh quality comparison and a calculation time comparison. For the mesh quality comparison, visual qualitative inspections were performed on the models and the results were compared. Furthermore, all settings in the RealityCapture BETA 1.0.3.9696 ppi and Meshroom 2019 2.0 software are provided. A comparison of the quality of the photogrammetric 3D meshes was performed by comparing the rendering results. The dataset of the iPhone XS can be used to compare further photogrammetry software or single algorithms. Besides the images, the initial point cloud of the laser scanner is provided. Also included is the combined file which consists of the laser scan point cloud and the photogrammetry mesh of the end of the experiment.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Datasets of captured images of three different devices for photogrammetry calculation comparison and integration into a laserscan point cloud of a built environment

2020

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“…The application of photogrammetric techniques facilitates the use of metric or non-metric measuring cameras, and in recent years terrestrial laser scanners have been successfully employed for this purpose [Kwoczyńska and Rzepka 2013]. These issues were raised by, among others: Kędzierski and Walczykowski [2008], Zawieska [2008], Mikrut et al [2014], Głowienka et al [2015] or Kwoczyńska et al [2016]. GLL No.…”

Section: Introductionmentioning

confidence: 99%

“…Since the emergence of the laser scanning technique, it is becoming increasingly common to use it for cataloguing and describing heritage properties [Bęcek et al 2015]. Also frequently used is the integration of photogrammetric and laser data, which has been discussed in studies by Mikrut et al [2014], Buckley et al [2006], Guarnieri et al [2006] and Mitka and Rzonca [2012].…”

Section: Introductionmentioning

confidence: 99%

Modelling of a Heritage Property Using a Variety of Photogrammetric Methods

Kwoczyńska

2020

GLL

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In recent years, 3D modelling of historic heritage properties is most often based on photogrammetric measurements. Data on such properties can be obtained, however, by a variety of entirely different methods. This publication presents an example of developing a 3D model of a historic heritage building using two photogrammetric methods. The first one was based on photographs taken with a nonmetric camera, and the second one was based on data from terrestrial laser scanning. The object of the study was the Museum of the Estreicher Family in Krakow. The photos were obtained with a Canon EOS 400D DSLR camera and a cloud of points from terrestrial laser scanning with a Leica ScanStation P40 scanner. The development of the 3D model based on photographs was carried out using the Bentley ContextCapture software application, and the Agisoft PhotoScan Professional. In contrast, TLS (Terrestrial Laser Scanning) data was processed in the Leica Cyclone software application and modelled in the 3DReshaper. Both methods were analysed and compared in a tabular presentation. Keywords 3D model • terrestrial laser scanning • non-metric imaging

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“…The building side walls will be reproduced in contrast to a roof [9]. In order to solve this problem, it is reasonable to use another measurement method to collect spatial information on the object (e.g., with the additional use of aerial photos from the aircraft or UAV (Unmanned Aerial Vehicle)) [10,11]. Generally speaking, as stated in Reference [12], no single modelling technique meets all requirements of high geometric accuracy, portability, full automation, photo-realism, and low cost as well as flexibility and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Combined Close Range Photogrammetry and Terrestrial Laser Scanning for Ship Hull Modelling

Burdziakowski

Tysiąc

2019

Geosciences

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The paper addresses the fields of combined close-range photogrammetry and terrestrial laser scanning in the light of ship modelling. The authors pointed out precision and measurement accuracy due to their possible complex application for ship hulls inventories. Due to prescribed vitality of every ship structure, it is crucial to prepare documentation to support the vessel processes. The presented methods are directed, combined photogrammetric techniques in ship hull inventory due to submarines. The class of photogrammetry techniques based on high quality photos are supposed to be relevant techniques of the inventories’ purpose. An innovative approach combines these methods with Terrestrial Laser Scanning. The process stages of data acquisition, post-processing, and result analysis are presented and discussed due to market requirements. Advantages and disadvantages of the applied methods are presented.

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Integration of Image and Laser Scanning Data Based on Selected Example

Cited by 7 publications

References 7 publications

Datasets of captured images of three different devices for photogrammetry calculation comparison and integration into a laserscan point cloud of a built environment

Datasets of captured images of three different devices for photogrammetry calculation comparison and integration into a laserscan point cloud of a built environment

Modelling of a Heritage Property Using a Variety of Photogrammetric Methods

Combined Close Range Photogrammetry and Terrestrial Laser Scanning for Ship Hull Modelling

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