Smartphone: An alternative to ground control points for orienting virtual outcrop models and assessing their quality
Open Access
- 8 November 2019
- journal article
- research article
- Published by Geological Society of America in Geosphere
- Vol. 15 (6) , 2043-2052
Abstract
The application of structure from motion–multiview stereo (SfM-MVS) photogrammetry to map metric- to hectometric-scale exposures facilitates the production of three-dimensional (3-D) surface reconstructions with centimeter resolution and range error. In order to be useful for geospatial data interrogation, models must be correctly located, scaled, and oriented, which typically requires the geolocation of manually positioned ground control points with survey-grade accuracy. The cost and operational complexity of portable tools capable of achieving such positional accuracy and precision is a major obstacle in the routine deployment of SfM-MVS photogrammetry in many fields, including geological fieldwork. Here, we propose a procedure to overcome this limitation and to produce satisfactorily oriented models, which involves the use of photo orientation information recorded by smartphones. Photos captured with smartphones are used to: (1) build test models for evaluating the accuracy of the method, and (2) build smartphone-derived models of outcrops, used to reference higher-resolution models reconstructed from image data collected using digital single-lens reflex (DSLR) and mirrorless cameras. Our results are encouraging and indicate that the proposed workflow can produce registrations with high relative accuracies using consumer-grade smartphones. We also find that comparison between measured and estimated photo orientation can be successfully used to detect errors and distortions within the 3-D models.Keywords
This publication has 24 references indexed in Scilit:
- Mitigating systematic error in topographic models derived from UAV and ground‐based image networksEarth Surface Processes and Landforms, 2014
- Modeling the topography of shallow braided rivers using Structure-from-Motion photogrammetryGeomorphology, 2014
- Building a virtual outcrop, extracting geological information from it, and sharing the results in Google Earth via OpenPlot and Photoscan: An example from the Khaviz Anticline (Iran)Computers & Geosciences, 2014
- Direct Georeferencing of Ultrahigh-Resolution UAV ImageryIEEE Transactions on Geoscience and Remote Sensing, 2013
- Multiview 3D reconstruction in geosciencesComputers & Geosciences, 2012
- Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) ImageryRemote Sensing, 2012
- Open Plot Project: an open-source toolkit for 3-D structural data analysisSolid Earth, 2011
- Taking computer vision aloft – archaeological three‐dimensional reconstructions from aerial photographs with photoscanArchaeological Prospection, 2011
- Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cutsEngineering Geology, 2009
- Characterizing stress fields in the upper crust using joint orientation distributionsJournal of Structural Geology, 2005