ARTIVVIS | Project Website

Project Overview

ARTIVVIS (Real-time TIme-variant Volume VISualisation) addresses the problem of real-time interactive visualisation of scientific data, namely volumetric datasets, which are ubiquitous in many application domains such as Medicine, Biology, Fluid Dynamics and Veterinary Science to name a few. Specifically, we deal with the problem of time-variant and multivariate volume data sets, which have become more readily available in recent years. Such data sets are difficult to deal with due to their computational complexity as well as the information overload that can arise from such visually challenging data. Our primary objective will be to develop techniques and future frameworks capable of effectively rendering complex time-varying data at interactive frame-rates on commodity display platforms. We address solutions derived from established niche areas at the GV2 group including real-time rendering, perception in graphics and visualisation, and graphics hardware.

Funding Agency: Science Foundation Ireland (SFI)
Programme: SFI Investigators Programme
Project ID: SFI 13/IA/1895
Duration: September 2014 - August 2018
Person Months: 192
Principal Investigators: Dr. John Dingliana [url], Dr. Michael Manzke [url]
Research Center: Graphics Vision Visualisation group (GV2), School of Computer Science and Statistics, Trinity College Dublin

Team Members

  • Dr. John Dingliana, Principal Investigator
  • Dr. Michael Manzke, Co-PI
  • Dr. Michael Doyle, Research Fellow
  • Dr. Lazaro Campoalegre Vera, Research Fellow
  • Tom Noonan, Research Assistant
  • David Ganter, PhD Student
Associated Team Members (Principally funded from other sources)
  • Shengzhou Luo, PhD Student (Funded by TCD Studentship - Part-funded by ARTIVVIS)
  • Ciaran Tuohy, PhD Student (Funded by Irish Research Council)
  • Niall Mullally, Research Assistant (Funded by SFI TIDA: INFOCARVE Project)

Contact Details

Graphics Vision and Visualisation Group
School of Computer Science and Statistics
Trinity College Dublin
Email: John.Dingliana AT | Michael.Manzke AT
Ph: +353 1 896 1765 (School of Computer Science and Statistics Reception)
Fax: + 353 1 677 2204 (Please indicate FAO: John Dingliana or Michael Manzke)