Jean-José Orteu
11
Documents
Identifiants chercheurs
- jean-joseorteu
- ResearcherId : E-5588-2010
- IdRef : 059762446
- 0000-0003-1585-9507
- Google Scholar : https://scholar.google.fr/citations?user=P3k3PYEAAAAJ
- ResearcherId : C-2304-2009
Présentation
Toutes mes publications sont visibles ici :
<http://perso.mines-albi.fr/~jeanjose/>
Toutes mes publications sont visibles ici :
<http://perso.mines-albi.fr/~jeanjose/>
<http://institut-clement-ader.org/old/pageperso.php?id=jjorteu>
Publications
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Learning deep domain-agnostic features from synthetic renders for industrial visual inspectionJournal of Electronic Imaging, 2022, 31 (05), pp.051604. ⟨10.1117/1.JEI.31.5.051604⟩
Article dans une revue
hal-03712960v1
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Three-dimensional point cloud analysis for automatic inspection of complex aeronautical mechanical assembliesJournal of Electronic Imaging, 2020, 29 (04), pp.041012-1-041012-22. ⟨10.1117/1.JEI.29.4.041012⟩
Article dans une revue
hal-02557867v1
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Automatic Inspection of Aeronautical Mechanical Assemblies by Matching the 3D CAD Model and Real 2D ImagesJournal of Imaging, 2019, 5 (10), pp.81-110. ⟨10.3390/jimaging5100081⟩
Article dans une revue
hal-02320900v2
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Detection and characterization of defects on mechanical structures by using 3D visionQCAV'2023 - the 16th international conference quality control by artificial vision, Jun 2023, Albi, France. 7 p., ⟨10.1117/12.3000509⟩
Communication dans un congrès
hal-04168243v1
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Image Classification Applied to the Problem of Conformity Check in IndustrySOCO 2022 - 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, Sep 2022, Salamanque, Spain. p. 340-349, ⟨10.1007/978-3-031-18050-7_33⟩
Communication dans un congrès
hal-03813066v1
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Inspection d'assemblages mécaniques par une approche Deep Learning 3D : résultats préliminairesORASIS 2021 - 18ème journées francophones des jeunes chercheurs en vision par ordinateur, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France. 9 p
Communication dans un congrès
hal-03339892v1
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On learning deep domain-invariant features from 2D synthetic images for industrial visual inspectionQCAV’2021- 15th International Conference on Quality Control by Artificial Vision, May 2021, Tokushima (online), Japan. 9 p., ⟨10.1117/12.2589040⟩
Communication dans un congrès
hal-03230285v1
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Inspection of mechanical assemblies based on 3D Deep Learning approachesQCAV’2021 - 15th International Conference on Quality Control by Artificial Vision, May 2021, Tokushima (online), Japan. 8 p., ⟨10.1117/12.2588986⟩
Communication dans un congrès
hal-03230297v1
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3D Point Cloud Analysis for Automatic Inspection of Aeronautical Mechanical AssembliesQCAV2019 - Quality Control by Artificial Vision, May 2019, Mulhouse, France. ⟨10.1117/12.2521715⟩
Communication dans un congrès
hal-02087366v1
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Automatic inspection of aeronautical mechanical assemblies using 2D and 3D computer visionNDT AEROSPACE 2019 - 11th Symposium on NDT in Aerospace, Nov 2019, Paris-Saclay, France
Communication dans un congrès
hal-02374691v1
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Inspection automatisée d’assemblages mécaniques aéronautiques par vision 2D/3D en exploitant la maquette numériqueOPTIQUE TOULOUSE 2018, Jul 2018, Toulouse, France
Communication dans un congrès
hal-01830354v1
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