Curve Reconstruction via a Ribbon of Sensors
Autor: | L. Bernard, S. Nathalie, B. Luc, D. Dominique |
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Přispěvatelé: | Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Modélisation Géométrique & Multirésolution pour l'Image (MGMI), Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2007 |
Předmět: |
Engineering
business.industry 020207 software engineering 010103 numerical & computational mathematics 02 engineering and technology Accelerometer [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG] 01 natural sciences Spline (mathematics) Planar Simulated data Ribbon 0202 electrical engineering electronic engineering information engineering Curve reconstruction Computer vision Artificial intelligence 0101 mathematics business |
Zdroj: | 14th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2007 ICECS 2007-14th IEEE International Conference on Electronics, Circuits and Systems ICECS 2007-14th IEEE International Conference on Electronics, Circuits and Systems, Dec 2007, Marrakech, Morocco. pp.407--10, ⟨10.1109/ICECS.2007.4511016⟩ ICECS |
DOI: | 10.1109/ICECS.2007.4511016⟩ |
Popis: | International audience; This paper presents a novel method for reconstructing curves relying on tangential data which are provided by embedded sensors. The reconstruction process is based on the knowledge of the distribution of the sensors along the curve, represented by a ribbon, and on the associated tangential orientation measurements without any information about their positioning in space, so that this problem is not an envelope problem. We first show how we can obtain these data from sensors and the prototypes we have created. Then we provide methods for planar curves, then for spatial curves and we analyze results with physical sense and convergence in order to validate these methods. Finally, we show some results from both simulated data and real data. |
Databáze: | OpenAIRE |
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