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

Open Access Fitting analytical BRDF models to low-resolution measurements of light scattered from relief printing samples

Download Article:
 Download
(PDF 1,403.1 kb)
 
2.5D/3D printing brings new perspectives in many fields, such as manufacturing, architecture, and arts. These new applications also bring out the issues that were barely considered in traditional 2D printing and go beyond color accuracy. Given the recent possibilities of surface construction, one may wonder how the texture details affect the reflection properties of a relief print. In this paper, we attempt to address this question by designing and testing on two groups of relief printed samples: 25 textured surfaces with different roughness levels and 40 visually flat surfaces with different gloss levels. We will first describe how reflection data (in the form of BRDFs) was acquired with our test device. Then we fit the data with some current analytical BRDF models. The results show that, in terms of accuracy and speed, the Ward model fitting outperforms the other models we use. On the other hand, we see that for our rough surface samples, there is a weak positive correlation between input roughness and the roughness parameter in microfacet based Cook-Torrance model. This parameter, however, shows a stronger negative correlation to surface gloss level for the flat samples. These results provide a useful insight to the reflection and texture properties of relief prints, and can be further embedded in the printing pipeline.
No References for this article.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: 15 February 2016

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
X
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