3D Visual Data Mining (3DVDM)

Project Details


Both private companies and public institutions regularly collect large databases, but much of the information content in those databases is difficult to extract. With VR-technology it is possible to create virtual visual worlds based on the characteristics of the data, so that visual data explorers can be immersed in these worlds, navigate around, and observe the data from within. The project develops and investigates the applicability of spatio- temporal visualisation methods for the purpose of detection of previously unknown structures and relationships in data. A new and flexible VR visualisation system has been developed and implemented, which allows visualisation of arbitrary temporal developments of data, and furthermore makes it possible to study new forms of interaction. The VR visualisation system is being used by the members of the 3D Visual Data Mining project, as well as by other research groups at Aalborg University. It has allowed the participants of the 3D Visual Data Mining project to develop new methods for exploring data in Virtual Reality based on arbitrary temporal data visualisation. The system has also allowed for addition and integration of software facilities for 3D surround sound generation in VR. Different methods for using sound in the 3D Visual Data Mining system were investigated. It was found to be possible to use dynamic interactive 3D soundscapes to support the visual representation of data, and a series of methods were developed and tested. The result was two major tools with which a soundscape was created based on either user navigation/data windowing or direct querying of the data. The project is interdisciplinary with participation of computer scientists, statisticians, and psychologists - all from Aalborg University. Supported by the Danish Research Councils, 1999-2004. However, research in the field is continued at CVMT and VR Media Lab. (Rasmus Stenholt, Erik Kjems, Erik Granum)
Effective start/end date19/05/2010 → …


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