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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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 languageEnglish
Title of host publicationMAM2015: Eurographics Workshop on Material Appearance Modeling: Issues and Acquisition
Publication date2015
ISBN (Print)978-3-905674-83-5
DOIs
Publication statusPublished - 2015

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