Search results for "SHAPE FROM FOCUS"

showing 5 items of 5 documents

3D image acquisition system based on shape from focus technique

2013

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…

Engineering[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONscenesImage processingagronomic scenes[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyClassification of discontinuitieslcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDomain (software engineering)shape from focusDepth map0202 electrical engineering electronic engineering information engineeringagronomiclcsh:TP1-1185Computer vision3D image acquisition system;shape from focus;focus measure;agronomic;scenesDepth of fieldElectrical and Electronic EngineeringInstrumentationComputingMethodologies_COMPUTERGRAPHICS3D image acquisition systemfocus measureMonocular[ SDV ] Life Sciences [q-bio]business.industry3D image acquisition system; shape from focus; focus measure; agronomic scenesScene statisticsDistributed object021001 nanoscience & nanotechnologyAtomic and Molecular Physics and Optics020201 artificial intelligence & image processingArtificial intelligence0210 nano-technologybusiness
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Systèmes imageurs 3D pour des applications agricoles : caractérisation de cultures et phénotypage de racines

2016

The development of the concepts of precision agriculture and viticulture since the last three decades has shown the need to use first 2D image acquisition techniques and dedicated image processing. More and more needs concern now 3D images and information. The main ideas of this chapter is thus to present some innovations of the 3D tools and methods in the agronomic domain. This chapter will particularly focus on two main subjects such as the 3D characterization of crop using Shape from Focus or Structure from Motion techniques and the 3D use for root phenotyping using rhizotron system. Results presented show that 3D information allows to better characterize crucial crop morphometric parame…

[SDE] Environmental Sciences0106 biological sciences2. Zero hungerRoot (linguistics)Focus (computing)SHAPE FROM FOCUSComputer scienceMachine vision3D reconstructionImage processing04 agricultural and veterinary sciencesPHENOTYPAGE15. Life on land01 natural sciencesData scienceDomain (software engineering)Agricultural science[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesStructure from motionSTRUCTURE FROM MOTIONPrecision agriculture010606 plant biology & botany
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Mesure de netteté basée sur les descripteurs généralisés de Fourier appliquée à la reconstruction 3D par Shape from Focus

2013

National audience; L'étape principale de la méthode de reconstruction 3D " Shape from Focus " est l'utilisation d'un opérateur de mesure de netteté de chaque pixel de la séquence d'image. Le choix de l'opérateur de mesure de netteté est une étape cruciale pour une reconstruction 3D de qualité. La précision de la mesure de netteté dépend de la taille du voisinage autour du pixel choisi et de la présence ou non de bruit additif dans la séquence d'images. Dans cet article, nous présentons deux nouveaux opérateurs de mesure de netteté basés sur les Descripteurs Généralisés de Fourier. Une nouvelle étude comparative des différents opérateurs est présentée. Cette comparaison est basée sur un plan…

[SDE] Environmental Sciences[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing??[SDV] Life Sciences [q-bio]Mesure de netteté[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDescripteurs généralisés de Fourier[SDE]Environmental SciencesShape from Focus[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Conception d’un dispositif d’acquisition d’images agronomiques 3D en extérieur et développement des traitements associés pour la détection et la reco…

2013

Thèse de Doctorat Sciences pour l’Ingénieur et Microtechniques, Spécialité Instrumentation et Information de l’Image Agrosup ECOLDUR (2013); Dans le cadre de l’acquisition de l’information de profondeur de scènes texturées, un processus d’estimation de la profondeur basé sur la méthode de reconstruction 3D « Shape from Focus » est présenté dans ce manuscrit. Les deux étapes fondamentales de cette approche sont l’acquisition de la séquence d’images de la scène par sectionnement optique et l’évaluation de la netteté locale pour chaque pixel des images acquises. Deux systèmes d’acquisition de cette séquence d’images sont présentés ainsi que les traitements permettant d’exploiter celle-ci pour …

[SDV] Life Sciences [q-bio]shape from focusévaluation de robustesse[SDV]Life Sciences [q-bio]mesure de nettetéreconstruction 3Ddescripteurs généralisés de Fourier
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Optical tomography from focus

2007

A model and a method providing a 3D reconstruction of a given translucent object from a series of image acquisitions performed with various focus tunings is proposed. The object is imaged by transmission; refraction, reflection and diffusion effects are neglected. It is modeled as a stack of translucent parallel slices and the acquisition process can be described by a set of linear equations. We propose an efficient inversion technique with O(n) complexity, allowing practical applications with a simple laptop computer in a very reasonable time. Examples of results obtained with a simulated 3D translucent object are presented and discussed.

medicine.diagnostic_testComputer sciencebusiness.industry3D reconstruction02 engineering and technologytranslucent shapeInverse problemoptical tomography01 natural sciencesAtomic and Molecular Physics and Optics010309 opticsshape from focusOptics[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciences[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingOptical tomographybusinessLinear equationComputingMilieux_MISCELLANEOUS
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