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3D image acquisition system based on shape from focus technique

Authors :
Ludovic Journaux
Jean-Claude Simon
Pierre Gouton
Bastien Billiot
Frédéric Cointault
Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i)
Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM)
Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)
Agroécologie [Dijon]
Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Regional Council of Burgundy
Development pole Nicephore Cite based at Chalon-sur-Saone in France
Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM)
HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Laboratoire Electronique, Informatique et Image ( Le2i )
Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS )
Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Source :
Sensors, Sensors, MDPI, 2013, 13 (4), pp.5040-5053. ⟨10.3390/s130405040⟩, Sensors, MDPI, 2013, Sensors; Volume 13; Issue 4; Pages: 5040-5053, Sensors 4 (13), 5040-5053. (2013), Sensors (Basel, Switzerland), Sensors, MDPI, 2013, 13 (4), pp.5040-5053. 〈10.3390/s130405040〉, Sensors, Vol 13, Iss 4, Pp 5040-5053 (2013)
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

agent Agrosup Dijon de l'UMREcolDurGEAPSI; This paper describes the design of a 3D image acquisition system dedicated to natural complex scenes composed of randomly distributed objects with spatial discontinuities. In agronomic sciences, the 3D acquisition of natural scene is difficult due to the complex nature of the scenes. Our system is based on the Shape from Focus technique initially used in the microscopic domain. We propose to adapt this technique to the macroscopic domain and we detail the system as well as the image processing used to perform such technique. The Shape from Focus technique is a monocular and passive 3D acquisition method that resolves the occlusion problem affecting the multi-cameras systems. Indeed, this problem occurs frequently in natural complex scenes like agronomic scenes. The depth information is obtained by acting on optical parameters and mainly the depth of field. A focus measure is applied on a 2D image stack previously acquired by the system. When this focus measure is performed, we can create the depth map of the scene.

Details

Language :
English
ISSN :
14248220
Database :
OpenAIRE
Journal :
Sensors, Sensors, MDPI, 2013, 13 (4), pp.5040-5053. ⟨10.3390/s130405040⟩, Sensors, MDPI, 2013, Sensors; Volume 13; Issue 4; Pages: 5040-5053, Sensors 4 (13), 5040-5053. (2013), Sensors (Basel, Switzerland), Sensors, MDPI, 2013, 13 (4), pp.5040-5053. 〈10.3390/s130405040〉, Sensors, Vol 13, Iss 4, Pp 5040-5053 (2013)
Accession number :
edsair.doi.dedup.....7c0cd05052822f40bbb49b451d256431
Full Text :
https://doi.org/10.3390/s130405040⟩