Search results for "pattern recognition"

showing 10 items of 2301 documents

Procede de commande de pulverisation, dispositif et programme correspondant

2020

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
researchProduct

Induced resistance in grapevine : from concept to vineyard application

2012

International audience

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesPlasmopara viticolaPathogen-Associated Molecular Pattern (PAMP)Pattern Recognition Receptor (PRR)primingComputingMilieux_MISCELLANEOUS
researchProduct

Induced resistance in grapevine: from concept to vineyard application

2012

SPE IPM Chapitre 11; International audience

[SDV] Life Sciences [q-bio][SDE] Environmental SciencesPattern Recognition Receptors (PRR)plant innate immunity[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyMicrobe Associated Molecular Patterns (MAMP)
researchProduct

Récepteurs de l'immunité chez les plantes

2013

[SDV] Life Sciences [q-bio][SDE] Environmental SciencesVitis vinifera[SDV]Life Sciences [q-bio][SDE]Environmental SciencesPattern Recognition Receptor[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyplant immunity
researchProduct

Recherche de récepteurs de l’immunité des plantes et étude de l’impact de biostimulants sur leur expression et la résistance induite chez des organes…

2021

National audience; La stimulation des défenses immunitaires des plantes représente une stratégie durable deprotection des cultures qui pourrait permettre de réduire l’utilisation de pesticides chimiquesencore trop répandue en viticulture. Son principe réside en l’application, au contact des cellulesvégétales, de molécules élicitrices détectées comme des signaux de danger par la plante. Cessignaux de dangers peuvent être de différente nature et origine comme par exemple la chitine,un chito-oligosaccharide (COS) retrouvé dans les parois fongiques. Leur détection par desrécepteurs de l’immunité entraine une cascade de signalisation complexe, conduisant àl’activation de réactions de défense et …

[SDV] Life Sciences [q-bio]vigne (Vitis vinifera)immunité induiteLysM Receptors Kinases[SDV]Life Sciences [q-bio]Microbe-Associated Molecular PatternsPattern Recognition Receptorschito-oligosaccharides
researchProduct

Impression 3D et propriété intellectuelle: Un aperçu français

2019

Technological developments and the expiry of patents in three-dimensional printing are making this technology less and less expensive and with increased performance. Now widespread in the manufacturing industry, 3D printing is about to cross the threshold of our homes. The dematerialization of objects into exchangeable digital files raises many questions about the enforcement of intellectual property rights in French Law.

[SHS.DROIT]Humanities and Social Sciences/Law[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SHS.DROIT] Humanities and Social Sciences/Law[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SHS] Humanities and Social Sciences[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][SHS]Humanities and Social Sciences
researchProduct

Photometric Gaussian Mixtures for Direct Virtual Visual Servoing of Omnidirectional Camera

2021

International audience

[SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMilieux_MISCELLANEOUS[SPI.AUTO]Engineering Sciences [physics]/Automatic
researchProduct

Multi-Scale Feature Extraction for Vehicle Detection Using Phis-Lbp

2018

International audience; Multi-resolutionobjectdetectionfacesseveraldrawbacksincludingitshighdimensionalityproducedby a richer image representation in different channels or scales. In this paper, we propose a robust and lightweight multi-resolution method for vehicle detection using local binary patterns (LBP) as channel feature. Algorithm acceleration is done using LBP histograms instead of multi-scale feature maps and by extrapolating nearby scales to avoid computing each scale. We produce a feature descriptor capable of reaching a similar precision to other computationally more complex algorithms but reducing its size from 10 to 800 times. Finally, experiments show that our method can obt…

[SPI]Engineering Sciences [physics][SPI] Engineering Sciences [physics]Computer Science::Computer Vision and Pattern Recognitionfeatures pyramidsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFeature extractionvehicle detectiontextureLocal Binary Patterns
researchProduct

Towards automated and operational forest inventories with T-Lidar

2011

International audience; Forest inventory automation has become a major issue in forestry. The complexity of the segmentation of 3D point cloud is due to mutual occlusion between trees, other vegetation, or branches. That is why, the applications done until now are limited to the estimation of the DBH (Diameter at Breast Height), the tree height and density estimation. Furthermore other parameters could also be detected, such as volume or species of trees (Reulke and Haala) . . . This paper presents an effective approach for automatic detection, isolation of trees and DBH estimation. Tree isolation is achieved using an innovative approach based on a clustering methodology followed by a skele…

[STAT.AP]Statistics [stat]/Applications [stat.AP][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingDBH[ STAT.AP ] Statistics [stat]/Applications [stat.AP][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][STAT.AP] Statistics [stat]/Applications [stat.AP][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processingterrestrial laser scanningforest inventory[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingtree detection[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
researchProduct

A Framework for Mesh Segmentation and Annotation using Ontologies

2015

International audience; Mesh segmentation and annotation using semantics has received an increased interest with the recent democratisation of 3D reconstruction methods. The common approach is to perform this task in two steps, by first segmenting the mesh and then annotating it. However, this approach does not allow one part to take advantage of the other. In image processing, some methods are combining segmentation and annotation, but they are not generic and require implementation adjustments or rewritings for each modification of the expert knowledge. In this work, we describe an original framework that mixes segmen-tation and annotation while minimizing the required geometric analysis …

[STAT.AP]Statistics [stat]/Applications [stat.AP][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][STAT.AP] Statistics [stat]/Applications [stat.AP][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing[ STAT.AP ] Statistics [stat]/Applications [stat.AP][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
researchProduct