Perceptual appearance uniformity in 3D printing

Michael Ludwig, Nathan Moroney, Ingeborg Tastl, Melanie Gottwals, Gary Meyer

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

In this work we present a psychometric, visual search-based study analyzing the perceptual appearance uniformity of 3D printed materials. A 3D printer's quality, precision, and capacity to produce smooth surfaces directly affects the perceived uniformity of its outputs. This work represents the first steps towards building a perceptual model of uniformity for 3D printing. Such a model will greatly assist in advancing the quality of 3D printers, especially as they become capable of creating complex, spatiallyvarying appearances. We demonstrate the effectiveness of applying visual search to appearance perception problems by analyzing 288 appearance variations formed from the combination of 18 printed surfaces, 8 virtual transformations of those surfaces, and two illumination conditions. The virtual transformations allowed us to explore the impact of bumpiness, glossiness, and spatially-varying color on perceived uniformity. Significant effects were found to be caused by several of these dimensions. Additionally, the measured psychophysical data is a valuable contribution to the general study of the perception of spatially-varying appearances.

Original languageEnglish (US)
JournalIS and T International Symposium on Electronic Imaging Science and Technology
DOIs
StatePublished - 2018
EventMaterial Appearance 2018 - Burlingame, United States
Duration: Jan 28 2018Feb 1 2018

Bibliographical note

Funding Information:
Partially funded by the University of Minnesota’s Doctoral Dissertation Fellowship.

Publisher Copyright:
© 2018, Society for Imaging Science and Technology.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

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