1_Parente_Chandler_Dixon_2019_final.pdf (1.02 MB)
0/0

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

Download (1.02 MB)
journal contribution
posted on 16.09.2019 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

Exports