Open AccessEvaluation of the Quality of Photogrammetric Techniques for Site Reconstruction
Author(s) -
Krzysztof Skabek,
P. Kowalski
Publication year - 2018
Publication title -
studia informatica system and information technology
Language(s) - English
Resource type - Journals
ISSN - 1731-2264
DOI - 10.21936/si2017_v38.n4.823
Subject(s) - photogrammetry , computer vision , artificial intelligence , raster graphics , 3d reconstruction , computer science , laser scanning , data acquisition , surface reconstruction , reliability (semiconductor) , iterative reconstruction , surface (topology) , laser , mathematics , optics , quantum mechanics , physics , operating system , power (physics) , geometry
The article presents techniques for acquisition and processing of image data for photogrammetric 3D reconstruction. The analysis is focused on the selection of real outdoor scenes of simulated accidents for criminal investigations. Surface models are obtained on the basis of photographs using photogrammetric reconstruction methods. Conditions for the acquisition and reconstruction parameters are described. The quality of the obtained surface models was analyzed using different reconstruction tools and compared to the quality of laser scanning. As laser scanners are not always available or practical to use in site acquisition, we analyze the reliability of 3D scene reconstruction using uncalibrated raster images.
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