Funded by the Science Foundation Investigators Programme 2013, ARTIVVIS addresses the problem of real-time interactive visualisation of scientific data, namely volumetric datasets, which are ubiquitous in many application domains. Specifically, we deal with the problem of time-variant and multivariate volume data sets, which 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 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. [url]
Cartoon Motion: Stylised facial animation from motion capture
Funded by Science Foundation Ireland, this project aims to create tools to automatically create motion that captures the idiosyncrasies of the human actor, yet incorporates artistic stylisation. The project will employ two PhD students and will be run in collaboration with Brown Bag Films and the University of Zaragoza, Spain.
CAPTAVATAR: Using principles of human multisensory perception to endow virtual agents with maximum social appeal
Funded by Science Foundation Ireland, this is a collaborative project between the Multisensory Cognition Group and GV2, the aim of which is to apply principles of human perceptual processing to endow virtual agents with maximum social appeal. By identifying preferred features and their multisensory combinations (measured through behavioural and brain responses) the research will then simulate these features in virtual agents, and create a ‘morphable’ social human. The effectiveness of the research will be demonstrated in the areas of games and entertainment (as specified by our collaboration with Intel and Disney Research), and compelling applications for education and health-care.
GRAISearch : Use of Graphics Rendering and Artificial Intelligence for Improved Mobile Search Capabilities
Funded by the EU FP7 Marie Curie Actions, the principal aim of this project is to develop and apply revolutionary graphics rendering and artificial intelligence (AI) methods to an existing social media search engine platform thereby creating ground breaking mobile search capabilities with significant online commercial potential. The partners in the project are Trinity College Dublin, Tapastreet and INSA-Lyon. Further info: HERE.
INFOCARVE: Focus and Context Rendering for Augmented Reality
This SFI TIDA funded applied research project involves the development of a system for optimised 3D visualisation overlays in Augmented Reality. The system will provide visualisation functions specific for AR leveraging previous work and expertise in the areas of illustrative visualization, perceptually adaptive rendering and attentional models in order to optimize the information overlay and increase the ability of the user to more effectively process complex 3D informational content. [MORE INFO]
ENDO VIEW: Computer Aided Decision Support to improve the quality of endoscopy screening
Colonoscopy is the gold standard for detecting and treating early stage cancers. However, it is a technically challenging procedure for clinicians with polyp misses rates of 36% reported. The quality of colonoscopy has become a major issue as largescale national screening programs are rolled out across the world. This project aims to develop a sensor and software systems to measure the quality of colonoscopy procedures and provide clinicians with real-time feedback to help them achieve better outcomes for patients.
Inside Joycean Dublin - A Digital Resource
The Inside Joycean Dublin project is an interdisiciplnary collaobration that seeks to develope a web-enabled digital resource, built on TCD’s Metropolis 3D-model of Dublin, which will facilitate access to and augment the digital archives associated with Dublin at the time, e.g., Joyce’s texts, the 1901 and 1911 censuses, local directories and visual and curated assets relevant to the historic and cultural narrative.
VERVE: Vanquishing Fear and Apathy Through E-Inclusion
The VERVE project aims to improve the quality of life for disadvantaged groups including older people and those with neurological disorders. The international project, funded by the European Commission Seventh Framework Programme, is coordinated by Trinity College Dublin and includes collaborative partners in healthcare and academia in France, UK, Italy, Spain and Germany.
WingWatch is an obstacle detection and collision warning system aimed at allowing large vehicles such as aircraft to manoeuvre safely. It is based on patented technology using sensors in the aircraft fuselage and associated robotics software to automatically detect obstacles and warn the pilots of potential collisions. The project will develop a platform technology in vehicle manoeuvring applicable to a range of vehicles.