Comparative Study of Two 3D Reconstruction Methods for Underwater Archaeology
| Autor: | Arnaud Meline, Bruno Jouvencel, Jean Triboulet |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Robotique mobile pour l'exploration de l'environnement (EXPLORE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Université de Nîmes (UNIMES), Meline, Arnaud |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Underwater archaeology
business.industry Computer science Feature extraction 3D reconstruction 02 engineering and technology Iterative reconstruction 01 natural sciences [SPI.AUTO]Engineering Sciences [physics]/Automatic 010309 optics Speckle pattern Single camera [SPI.AUTO] Engineering Sciences [physics]/Automatic Computer graphics (images) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Noise (video) Artificial intelligence Underwater business |
| Zdroj: | IROS: Intelligent Robots and Systems IROS: Intelligent Robots and Systems, Oct 2012, Vilamoura, Algarve, Portugal IROS |
| Popis: | International audience; The underwater 3D reconstruction cartography has made great progress in the last decade. The work presented in this paper is about the analysis and 3D reconstruction of archeological objects. Using a calibrated single camera and an uncalibrated system, we propose to describe a method to perform the Euclidian 3D reconstruction of unknown objects. A comparison of two methods is presented and tested on synthetic and real underwater pictures. Filters are proposed to simulate underwater environment and inherent problems. Finally, robust and stable features have been extracted from underwater pictures and used to perform the 3D model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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