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3D image acquisition system based on shape from focus technique
- 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.
- Subjects :
- Engineering
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing
[SDV]Life Sciences [q-bio]
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
scenes
Image processing
agronomic scenes
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
02 engineering and technology
Classification of discontinuities
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
Domain (software engineering)
shape from focus
Depth map
0202 electrical engineering, electronic engineering, information engineering
agronomic
lcsh:TP1-1185
Computer vision
3D image acquisition system
focus measure
Depth of field
Electrical and Electronic Engineering
Instrumentation
ComputingMethodologies_COMPUTERGRAPHICS
Monocular
[ SDV ] Life Sciences [q-bio]
business.industry
Scene statistics
Distributed object
021001 nanoscience & nanotechnology
Atomic and Molecular Physics, and Optics
020201 artificial intelligence & image processing
Artificial intelligence
0210 nano-technology
business
Subjects
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⟩