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Optimising the quality of an SfM‐MVS slope monitoring system using fixed cameras

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journal contribution
posted on 2019-09-16, 09:40 authored by Luigi Parente, Jim Chandler, Neil Dixon
The quality of 3D scene reconstruction and monitoring through structurefrom-motion multiview stereo (SfM-MVS) depends on critical key factors, including camera calibration and image network geometry. The goal of this paper is to examine the monitoring ability of an SfM-MVS workflow based on four or more ground-based digital single-lens reflex (DSLR) cameras and to estimate differences when adopting both fixed and variable camera positions and orientations. This was achieved by conducting work on a scaled laboratory testfield and a sea cliff. Tests demonstrate that a monitoring system using just four fixed cameras can achieve valuable monitoring capabilities and tolerate imperfections in the camera calibration. Furthermore, such a configuration can achieve accuracies comparable to terrestrial laser scanning (TLS) and drone-based photogrammetry. The study demonstrates that minimising registration errors between point clouds is critical. The “registration SIFT” approach could resolve such problems.

History

School

  • Architecture, Building and Civil Engineering

Published in

The Photogrammetric Record

Volume

34

Issue

168

Pages

408 - 427

Publisher

Wiley

Version

  • AM (Accepted Manuscript)

Rights holder

© 2019 The Authors. The Photogrammetric Record © 2019 The Remote Sensing and Photogrammetry Society and John Wiley & Sons Ltd

Publisher statement

This is the peer reviewed version of the following article: Parente, L., Chandler, J.H. and Dixon, N. (2019), Optimising the quality of an SfM‐MVS slope monitoring system using fixed cameras. The Photogrammetric Record, 34 (168), pp. 408-427 which has been published in final form at https://doi.org/10.1111/phor.12288. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

Publication date

2019-09-12

Copyright date

2019

ISSN

0031-868X

eISSN

1477-9730

Language

  • en

Depositor

Mr Luigi Parente