ARTIVVIS (Real-time TIme-varying 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.
 

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Publications and Presentations

Note that an asterisk (*) indicates the publication was jointly funded by another project

• Intuitive Transfer Function Editing Using Relative Visibility Histograms Shengzhou Luo and John Dingliana. In IEEE Visualization 2017 Posters, Phoenix AZ, USA. Oct 1-6, 2017 (To Appear)
• Principal Component Analysis Techniques for Visualization of Volumetric Data, Salaheddin Alakkari and John Dingliana. Book Chapter in Advances in Principal Component Analysis - Research and Development. Springer Verlag. 2017 (To Appear)
• Exploiting Spatio-temporal Coherency in Time-Varying Visualization Over Network Environments.Lazaro Campoalegre, Tom Noonan and John Dingliana. Computer Graphics, Visualization , Computer Vision and Image Processing 2017. Lisbon, Portugal. July, 2017 {Best Paper Award }
• Transfer Function Optimization Based on a Combined Model of Visibility and Saliency. Shengzhou Luo and John Dingliana. Spring Conference on Computer Graphics, 2017. Mikulov, Czech Republic. 15-17 May, 2017.
• Evaluation of a BVH Construction Accelerator Architecture for High-Quality Visualization. Michael Doyle, Ciaran Tuohy and Michael Manzke. In IEEE Transactions on Multi-Scale Computing Systems, vol.PP, no.99, pp.1-1. 18 April, 2017. [DOI][URL]
• Volume Visualization Using Principal Component AnalysisSalaheddin Alakkari and John Dingliana, in Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) 2016, Bergen Norway, September 7 - 9, 2016 [DOI | preprint]
• *A Framework for Volume Visualization on Commodity Augmented Reality Displays. Lingqiang Ran and John Dingliana, in International Conference on Virtual Reality and Visualization (ICVRV) 2016, Hangzhou, China, 23-25 September, 2016 [DOI | preprint]
• Transfer Function Optimization Based on a Combined Model of Visibility and Saliency. Shengzhou Luo and John Dingliana. EG / VGTC Conference on Visualization (EuroVis) 2016 Posters,Groningen, Netherlands, 6-10 June 2016. {Best Poster Award} [DOI | abstract | poster]
• Volume Rendering using Principal Component Analysis. Salaheddin Alakkari and John Dingliana. EG / VGTC Conference on Visualization (EuroVis) 2016 Posters,Groningen, Netherlands, 6-10 June 2016. [DOI | abstract | poster]
• *A hybrid fixed-function and microprocessor solution for high-throughput broad-phase collision detection. Muiris Woulfe and Michael Manzke. EURASIP Journal on Embedded Systems. Volume 2017. No. 1. 27th June, 2016. [DOI | Link]
• Transfer Function Optimization for Volume Visualization Based on Visibility and Saliency. PhD Thesis. Shengzhou Luo [Supervisor: John Dingliana]. School of Computer Science and Statistics, Trinity College Dublin, 2015
• Temporal Coherence Predictor for Time Varying Volume Data Based on Perceptual Functions. Tom Noonan, Lazaro Campoalegre and John Dingliana. International Symposium on Vision, Modelling and Visualisation (VMV 2015), 7-9 October, 2015. [DOI | preprint]
• Visibility-Weighted Saliency for Volume Visualization. Shengzhou Luo and John Dingliana, Computer Graphics and Visual Computing Conference (CGVC), 16-17 September, London, UK, 2015. [DOI|preprint]
• Selective Saturation and Brightness for Visualizing Time-Varying Volume Data. Shengzhou Luo and John Dingliana. EG / VGTC Conference on Visualization (EuroVis) 2015 Posters, Cagliari, Italy, May 2015. [abstract | poster]
• Expressive Volume Rendering. John Dingliana. Invited talk at Universidad Tecnica Catalunya, Barcelona, Spain, April 22nd, 2015.
• Transfer Function Refinement for Exploring Volume Data. Shengzhou Luo and John Dingliana, in proceedings of Eurasia Graphics 2014, Ankara Turkey, 14 October 2014. [preprint]

Previous publications and presentations related to work on this project

• A hardware unit for fast SAH-optimised BVH construction M. Doyle, C. Fowler and M. Manzke. ACM Transactions on Graphics, vol. 32, no. 4, 2013. [DOI | LINK]
• Real-time Illumination for Two-Level Volume Rendering Corcoran, A. and Dingliana, J. in Proceedings of the 8th International Symposium on Visual Computing, ISVC 2012, Rethymnon, Crete, Greece, July 16 - 18, 2012. [DOI | LINK]
• Image-space Adaptive Volume Rendering Corcoran, A. and Dingliana, J. in proceedings of the Conference on Visualisation and Data Analysis VDA 2012, Burlingame, CA, USA - (Part of IS&T/SPIE Electronic Imaging 2012 Conference), January 2012 [DOI | LINK]
• Time-Critical Ray-Cast Direct Volume Rendering Corcoran, A. and Dingliana, J., Technical Report TCD-CS-2011-13, School of Computer Science and Statistics, Trinity College Dublin, September 2011. [Link: PDF]
• Perceptual Enhancement of Two-level Volume Rendering Corcoran, A. Redmond, N. and Dingliana, J., Computers & Graphics - An International Journal of Systems & Applications in Computer Graphics : Special Issue on Illustrative Visualisation, 2010 [Link: DOI]

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Contact Details

Graphics Vision and Visualisation Group
School of Computer Science and Statistics
Trinity College Dublin
Dublin 2, Ireland
Email: John.Dingliana AT scss.tcd.ie | Michael.Manzke AT scss.tcd.ie
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)

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Contact Details: gv2-info AT scss.tcd.ie