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

doi:10.2312/mam.20151199

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

SDU Robotics

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition
Publication date	2015
ISBN (Print)	978-3-905674-83-5
DOIs	https://doi.org/10.2312/mam.20151199
Publication status	Published - 2015

Documents & Links

10.2312/mam.20151199

http://orbit.dtu.dk/en/publications/quality-assurance-based-on-descriptive-and-parsimonious-appearance-models(eb194dc5-4d35-476e-af94-3e52a15c21d0).html

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Cite this

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title = "Quality Assurance Based on Descriptive and Parsimonious Appearance Models",

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 {\textquoteleft}parsimonious{\textquoteright} we mean with few parameters so that a model is useful both for fast acquisition, robust fitting, and fast rendering of appearance. The word {\textquoteleft}descriptive{\textquoteright} 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",

year = "2015",

doi = "10.2312/mam.20151199",

language = "English",

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booktitle = "MAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition",

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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.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Frisvad, Jeppe Revall

AU - Conradsen, Knut

AU - Aanæs, Henrik

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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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