ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 299-304, 2012
https://doi.org/10.5194/isprsannals-I-3-299-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
20 Jul 2012
COMPARISON OF LASER SCANNING, PHOTOGRAMMETRY AND SFM-MVS PIPELINE APPLIED IN STRUCTURES AND ARTIFICIAL SURFACES
D. Skarlatos and S. Kiparissi Dept. of Civil Engineering and Geomatics, Cyprus University of Technology, P.O. BOX 50329, Limassol 3603, Cyprus
Keywords: Comparison, Laser scanning, Image based modelling, open source, accuracy, 3D reconstruction 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.
Conference paper (PDF, 814 KB)


Citation: Skarlatos, D. and Kiparissi, S.: COMPARISON OF LASER SCANNING, PHOTOGRAMMETRY AND SFM-MVS PIPELINE APPLIED IN STRUCTURES AND ARTIFICIAL SURFACES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 299-304, https://doi.org/10.5194/isprsannals-I-3-299-2012, 2012.

BibTeX EndNote Reference Manager XML