Quality Assurance Based on Descriptive and Parsimonious Appearance Models

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dc.contributor.authorNielsen, J. B.en_US
dc.contributor.authorEiriksson, E. R.en_US
dc.contributor.authorKristensen, R. L.en_US
dc.contributor.authorWilm, J.en_US
dc.contributor.authorFrisvad, J. R.en_US
dc.contributor.authorConradsen, K.en_US
dc.contributor.authorAanæs, H.en_US
dc.contributor.editorReinhard Klein and Holly Rushmeieren_US
dc.date.accessioned2015-07-31T07:40:44Z
dc.date.available2015-07-31T07:40:44Z
dc.date.issued2015en_US
dc.description.abstractIn this positional paper, we discuss the potential benefits of using appearance models in additive manufacturing, metal casting, wind turbine blade production, and 3D content acquisition. Current state of the art in acquisition and rendering of appearance cannot easily be used for quality assurance in these areas. The common denominator is the need for descriptive and parsimonious appearance models. By 'parsimonious' we mean with few parameters so that a model is useful both for fast acquisition, robust fitting, and fast rendering of appearance. The word 'descriptive' refers to the fact that a model should represent the main features of the acquired appearance data. The solution we propose is to reduce the degrees of freedom by greater use of multivariate statistics.en_US
dc.description.sectionheadersPapersen_US
dc.description.seriesinformationWorkshop on Material Appearance Modelingen_US
dc.identifier.doi10.2312/mam.20151199en_US
dc.identifier.isbn978-3-905674-83-5en_US
dc.identifier.issn2309-5059en_US
dc.identifier.pages21-24en_US
dc.identifier.urihttps://doi.org/10.2312/mam.20151199en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.1 [Image Processing and Computer Vision]en_US
dc.subjectDigitization and Image Captureen_US
dc.subjectReflectanceen_US
dc.titleQuality Assurance Based on Descriptive and Parsimonious Appearance Modelsen_US
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MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition