Skip to main content
padlock icon - secure page this page is secure

Open Access Perceptual Appearance Uniformity in 3D Printing

Download Article:
(PDF 9,522.9 kb)
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.
No References for this article.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: January 28, 2018

This article was made available online on January 13, 2018 as a Fast Track article with title: "Perceptual appearance uniformity in 3D printing".

More about this publication?
  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more