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

Open Access How to capture aesthetic features of complex cultural heritage objects – active illumination data fusion

Download Article:
 Download
(PDF 9,102 kb)
 
In the process of digitization of cultural heritage objects with differentiated shininess it is difficult to reproduce faithfully the aesthetic of the original. The aim of the presented research is to address simultaneous capturing of shape, color and reflection features in order to digitally reproduce the appearance of the real object. We focus our work on a study of a ceramic furnace tile which exhibits complex shape, color and varying reflection properties. To achieve the goal we use a specially designed automated acquisition setup and provide a dedicated data processing pipeline. The collected geometry conforms to metrological uncertainty validation and the diffuse component is colorimetrically calibrated. The reflection properties are measurement-based, modeled with Blinn-Phong and visualized with an OpenGL shader. Close integration of capturing devices and a single data processing pipeline allows to fully utilize multidimensional raw data in order to get faithful final appearance model.
No References for this article.
No Supplementary Data.
No Article Media
No Metrics

Keywords: BRDF modeling; cultural heritage documentation; data fusion; multispectral imaging; structured light projection

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: "How to capture aesthetic features of complex cultural heritage objects - Active illumination data fusion".

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