The Graphics & Imaging laboratory (GIlab) is a research group of the University of Girona (with code GRCT0081) and all researchers of the GIlab are from the Computer Science, Applied Mathematics and Statistics Department at the same university. The GIlab is a member of the Institute of Informatics and Applications (Institut d’Informàtica i Aplicacions, IIiA, and the SECIVI (Sociedad Española para las Ciencias del Videojuego). GIlab is a recognized research group of the Generalitat de Catalunya, with code 2021SGR00622.
Members of GIlab group, established in 2007, began already in 1992 the computer graphics research at the Universitat de Girona with the study of the application of integral geometry and Monte Carlo techniques to image synthesis and the study of scientific visualization techniques. Basic tools have been enlarged to include powerful information theory concepts and techniques.
GIlab’s research lines are: image and video processing, videogames, learning environments, scientific visualization, and spatial and spatio-temporal data processing. We want to stress the technology transfer capacity of our group, with collaborations with industrial partners.
Most representative projects
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Starviewer is a user-friendly diagnosis application. Thanks to its versatility, it is able to combine, in the same environment, the day to day diagnosis interface with a more specific research application. The platform is the result of combining research knowledge of Graphics and Imaging laboratory technicians, from the University of Girona, with the experience of the radiologists from Institut de Diagnòstic per la Imatge, a prestigious imaging institute located in the main catalan public hospitals. Starviewer integrates in the same environment basic and advanced image analysis techniques to assist radiologists in diagnosis. The modular design of the platform supports the integration of new funcionalities designed to diagnose any kind of patology. Starviewer is a cross-platform application available both on Windows and GNU/Linux OS. It supports DICOM standard and IHE profiles.
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ACME is an e-learning platform focused on the automatic correction of open-response training activities. ACME addresses a variety of exercises such as math, physics, chemistry, programming, databases,etc.. This platform can work independently as an LMS (Learning Management System) or integrated into other platforms such as Moodle.Its main features are, among others, the generation of multiple exercises from a base problem, the generation of personalized workbooks, the automatic correction and feedback return and the automatic assessment of student work. The modular design of the platform allows an easy integration of new types of exercises.
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LISSA, acronym of LIfe Support Simulation Activities, is a serious game designed to teach the cardiopulmonary resuscitation protocol (CPR) and the automated external defibrillators (AED) use. LISSA presents an emergency situation in a 3D virtual environment and the player has to solve the emergency by applying the CPR protocol and using the AED in the proper way. All actions are automatically evaluated and, at the end, a final report is returned. LISSA can be used to train both experts and laypersons. It is also an excellent channel to disseminate the importance of CPR and AED among citizens, which will result in an improvement in their quality of life and health.
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GameTools, a project from the VIth European Framework led by our group, has brought together European computer graphics research groups and game companies from Austria, Hungary, France and Spain. The modules developed by the research groups are validated and tested by the game companies, and integrated into their in-house rendering systems to provide demonstrators showing the viability of the developed methods. Furthermore the members of the GameTools Special Interest Group (SIG) can also use the preliminary access to the project technology and C++ source code. At this moment almost thirty European game companies are using the GTP technology and have the full support by research teams.
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