Projekter pr. år
Abstract
Structure from Motion 3D reconstruction has become widely used in recent years in a number of fields such as industrial surface in- inspection, archeology, cultural heritage preservation and geomapping. A number of software solutions have been released using variations of this technique. In this paper we analyse the state of the art of these software applications, by comparing the resultant 3D meshes qualitatively and quantitatively. We propose a number of testing scenarios using different lighting conditions, camera positions and image acquisition methods
for the best in-depth analysis and discuss the results, the overall performance and the problems present in each software. We employ distance and roughness metrics for evaluating the final reconstruction results.
for the best in-depth analysis and discuss the results, the overall performance and the problems present in each software. We employ distance and roughness metrics for evaluating the final reconstruction results.
Originalsprog | Engelsk |
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Titel | 6th International Euro-Mediterranean Conference (EuroMed 2016) |
Vol/bind | 10058 2016 |
Forlag | Springer |
Publikationsdato | 31 okt. 2016 |
ISBN (Trykt) | 978-3-319-48495-2 |
ISBN (Elektronisk) | 978-3-319-48496-9 |
DOI | |
Status | Udgivet - 31 okt. 2016 |
Begivenhed | 6th International Euro-Mediterranean Conference - Nicosia, Cypern Varighed: 31 okt. 2016 → 5 nov. 2016 http://www.euromed2016.eu/ |
Konference
Konference | 6th International Euro-Mediterranean Conference |
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Land/Område | Cypern |
By | Nicosia |
Periode | 31/10/2016 → 05/11/2016 |
Internetadresse |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Benchmarking Close-range Structure from Motion 3D Reconstruction Software under Varying Capturing Conditions'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
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Leading Edge Roughness - Wind Turbine Blades
Madsen, C. B. (PI (principal investigator)), Nikolov, I. A. (PI (principal investigator)) & Ladefoged, K. S. (PI (principal investigator))
01/10/2015 → 01/05/2019
Projekter: Projekt › Forskning
Forskningsdatasæt
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GGG-BenchmarkSfM: Dataset for Benchmarking Close-range SfM Software Performance under Varying Capturing Condition
Nikolov, I. A. (Ophavsperson) & Madsen, C. B. (Ophavsperson), Mendeley Data, 12 aug. 2020
DOI: doi: 10.17632/bzxk2n78s9.4
Datasæt
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GGG-BenchmarkSfM- Secondary: Secondary Dataset for Benchmarking Close-range SfM Software Performance Captured with Different Cameras
Nikolov, I. A. (Ophavsperson), Mendeley Data, 10 aug. 2020
Datasæt