Quality Assurance Based on Descriptive and Parsimonious Appearance Models

Jannik Boll Nielsen, Eythor Runar Eiriksson, Rasmus Lyngby Kristensen, Jakob Wilm, Jeppe Revall Frisvad, Knut Conradsen, Henrik Aanæs

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

In 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.
OriginalsprogEngelsk
TitelMAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition
Publikationsdato2015
ISBN (Trykt)978-3-905674-83-5
DOI
StatusUdgivet - 2015

Fingeraftryk

Quality assurance
3D printers
Metal casting
Wind turbines
Turbomachine blades
Statistics

Citer dette

Nielsen, J. B., Eiriksson, E. R., Kristensen, R. L., Wilm, J., Frisvad, J. R., Conradsen, K., & Aanæs, H. (2015). Quality Assurance Based on Descriptive and Parsimonious Appearance Models. I MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition https://doi.org/10.2312/mam.20151199
Nielsen, Jannik Boll ; Eiriksson, Eythor Runar ; Kristensen, Rasmus Lyngby ; Wilm, Jakob ; Frisvad, Jeppe Revall ; Conradsen, Knut ; Aanæs, Henrik. / Quality Assurance Based on Descriptive and Parsimonious Appearance Models. MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition. 2015.
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abstract = "In 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.",
author = "Nielsen, {Jannik Boll} and Eiriksson, {Eythor Runar} and Kristensen, {Rasmus Lyngby} and Jakob Wilm and Frisvad, {Jeppe Revall} and Knut Conradsen and Henrik Aan{\ae}s",
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Nielsen, JB, Eiriksson, ER, Kristensen, RL, Wilm, J, Frisvad, JR, Conradsen, K & Aanæs, H 2015, Quality Assurance Based on Descriptive and Parsimonious Appearance Models. i MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition. https://doi.org/10.2312/mam.20151199

Quality Assurance Based on Descriptive and Parsimonious Appearance Models. / Nielsen, Jannik Boll; Eiriksson, Eythor Runar; Kristensen, Rasmus Lyngby; Wilm, Jakob; Frisvad, Jeppe Revall; Conradsen, Knut; Aanæs, Henrik.

MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition. 2015.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AU - Conradsen, Knut

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AB - In 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.

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Nielsen JB, Eiriksson ER, Kristensen RL, Wilm J, Frisvad JR, Conradsen K et al. Quality Assurance Based on Descriptive and Parsimonious Appearance Models. I MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition. 2015 https://doi.org/10.2312/mam.20151199