1_Parente_Chandler_Dixon_2019_final.pdf (1.02 MB)
Optimising the quality of an SfM‐MVS slope monitoring system using fixed cameras
journal contribution
posted on 2019-09-16, 09:40 authored by Luigi Parente, Jim Chandler, Neil DixonThe 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 RecordVolume
34Issue
168Pages
408 - 427Publisher
WileyVersion
- AM (Accepted Manuscript)
Rights holder
© 2019 The Authors. The Photogrammetric Record © 2019 The Remote Sensing and Photogrammetry Society and John Wiley & Sons LtdPublisher 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
2019-09-12Copyright date
2019ISSN
0031-868XeISSN
1477-9730Publisher version
Language
- en