Registering natural photos to existing 3D surface models, particularly on low-power mobile devices, gathers increasing attention to a variety of application domains. The paper discusses up-to-date computation insights of the technique, condensing available literature and knowledge obtained from experiments across multiple research groups. Challenges like
smartphone camera calibration or the sensor-based estimation of location and orientation are current research subjects, for which new data and experimental results are presented. Moreover, computing-related, practical challenges (e.g. device variability) are detailed to increase the technological understanding and reasoning on the limits of mobile devices. An overview of running projects utilising image-to-geometry registration methods shows the potential for mobile devices to, amongst others, improve flood hazard mitigation and hydrocarbon exploration with crowdsourced data.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:33311 |
| Date | 21 February 2019 |
| Creators | Kröhnert, Melanie, Kehl, Christian, Litschke, Herbert, Buckley, Simon J. |
| Contributors | Gesellschaft z. Förderung angewandter Informatik |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-3-942709-17-0 |
Page generated in 0.0024 seconds