Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14165
Title: | Comparison of laser scanning, photogrammetry and SFM-MVS pipeline applied in structures and artificial surfaces | Authors: | Skarlatos, Dimitrios Kiparissi, Stavroula |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Keywords: | 3D reconstruction;accuracy;Comparison;Image based modelling;Laser scanning;open source | Issue Date: | 13-Jul-2012 | Source: | 22nd Congress of the International Society for Photogrammetry and Remote Sensing: Imaging a Sustainable Future, ISPRS 2012, Melbourne Convention and Exhibition CentreMelbourne, Australia, 25 August 2012 through 1 September 2012 | Conference: | International Society for Photogrammetry and Remote Sensing Congress | Abstract: | The merging of photogrammetry and computer vision has raised discussions regarding its ability to produce very dense point clouds, comparable, under circumstances to terrestrial laser scanning (TLS). This paper approaches this issue in terms of accuracy, density, methodology and ease to use. Three tests have been conducted to evaluate the process as well as data density, quality, registration and methodology. At the first test a 300 mm sphere with texture has been used as a reference object is order to address data quality using image based techniques. Menci's Zscan was tested against the Bundler-PMVS work flow. The second test is a flat building facade, where Zscan, TLS and Bundler-PMVS are compared directly. The last test was contacted in an electricity power station which was an extremely complex structure. Two TLS stations were compared against 212 Bundler-PMVS photos. Quantitative comparisons based on several criteria are presented. For small and medium size objects and distances Bundler-PMVS seems to have an advantage in terms of methodology and accuracy. In large scale objects TLS is better in terms of quality and processing time. | Description: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 1, 13 July 2012, Pages 299-304 | DOI: | 10.5194/isprsannals-I-3-299-2012 | Type: | Conference Papers | Affiliation : | Cyprus University of Technology | Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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isprsannals-I-3-299-2012.pdf | 814.91 kB | Adobe PDF | View/Open |
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