Detection of Printed Circuit Board Defects with Photometric Stereo and Convolutional Neural Networks

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dc.contributor.authorHable, Angelika
dc.contributor.authorMatore, Marko
dc.contributor.authorScherr, Anton
dc.contributor.authorKrivec, Thomas
dc.contributor.authorGruber, Dieter
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-18T15:20:20Z
dc.date.available2023-10-18T15:20:20Z
dc.date.issued2023
dc.description.sponsorshipThe research work of this article was performed at the Polymer Competence Center Leoben GmbH (PCCL, Austria) within the framework of the COMET program of the Federal Ministry for Transport, Innovation and Technology and the Federal Ministry of Digital and Economic Affairs with contributions by AT&S (Austria Technologie & Systemtechnik AG). The PCCL is funded by the Austrian Government and the State Governments of Styria, Lower Austria, and Upper Austria.en
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 300-305.en
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.92
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54437
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.rights.accessopenAccessen
dc.subjectfotometrické stereocs
dc.subjectdetekce vad desky plošných spojůcs
dc.subjectkonvoluční neuronové sítěcs
dc.subjectnormální mapacs
dc.subjectkvalitní inspekcecs
dc.subject.translatedphotometric stereoen
dc.subject.translatedprinted circuit board defect detectionen
dc.subject.translatedconvolutional neural networken
dc.subject.translatednormal mapen
dc.subject.translatedquality inspectionen
dc.titleDetection of Printed Circuit Board Defects with Photometric Stereo and Convolutional Neural Networksen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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