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Sensors 2015, 15(4), 7985-8008; doi:10.3390/s150407985

Network Design and Quality Checks in Automatic Orientation of Close-Range Photogrammetric Blocks

1
Department of Civil, Environmental, Land Management Engineering and Architecture, University of Parma, via Parco Area delle Scienze, 181/a, 43124 Parma, Italy
2
Centre for Geotechnical and Materials Modelling, The University of Newcastle, 2308 Callaghan, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 4 February 2015 / Revised: 16 March 2015 / Accepted: 30 March 2015 / Published: 3 April 2015
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [14085 KB, uploaded 3 April 2015]   |  

Abstract

Due to the recent improvements of automatic measurement procedures in photogrammetry, multi-view 3D reconstruction technologies are becoming a favourite survey tool. Rapidly widening structure-from-motion (SfM) software packages offer significantly easier image processing workflows than traditional photogrammetry packages. However, while most orientation and surface reconstruction strategies will almost always succeed in any given task, estimating the quality of the result is, to some extent, still an open issue. An assessment of the precision and reliability of block orientation is necessary and should be included in every processing pipeline. Such a need was clearly felt from the results of close-range photogrammetric surveys of in situ full-scale and laboratory-scale experiments. In order to study the impact of the block control and the camera network design on the block orientation accuracy, a series of Monte Carlo simulations was performed. Two image block configurations were investigated: a single pseudo-normal strip and a circular highly-convergent block. The influence of surveying and data processing choices, such as the number and accuracy of the ground control points, autofocus and camera calibration was investigated. The research highlights the most significant aspects and processes to be taken into account for adequate in situ and laboratory surveys, when modern SfM software packages are used, and evaluates their effect on the quality of the results of the surface reconstruction. View Full-Text
Keywords: photogrammetry; structure-from-motion (SfM); 3D model; accuracy; laboratory experiment; in situ experiment; ground control; image metrology photogrammetry; structure-from-motion (SfM); 3D model; accuracy; laboratory experiment; in situ experiment; ground control; image metrology
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Dall'Asta, E.; Thoeni, K.; Santise, M.; Forlani, G.; Giacomini, A.; Roncella, R. Network Design and Quality Checks in Automatic Orientation of Close-Range Photogrammetric Blocks. Sensors 2015, 15, 7985-8008.

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