Sam Redfern
National University of Ireland, Galway
31 Papers
58 Citations
Sam Redfern is an academic researcher from National University of Ireland, Galway. The author has contributed to research in topics: Computer-supported cooperative work & Computer science. The author has an hindex of 5, co-authored 26 publications.
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Papers
Collaborative Virtual Environments to Support Communication and Community in Internet-Based Distance Education
Sam Redfern,Niall Naughton +1 more
TL;DR: It is proposed that collaborative virtual environments (CVEs), which are computer-enabled, distributed virtual spaces or places in which people can meet and interact with others, with agents and with virtual objects, are appropriate tools for improving DE.
Collaborative Virtual Environments to Support Communication and Community in Internet-Based Distance Education
Sam Redfern,Niall Naughton +1 more
- 01 Jan 2002
TL;DR: In this paper, the authors argue that current technologies and implementations do not adequately support the key concepts of communication and community that many practitioners believe to be important, particularly if modern pedagogies such as constructivism are to be supported.
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The Importance of Spatial Audio in Modern Games and Virtual Environments
James Broderick,Jim Duggan,Sam Redfern +2 more
- 01 Aug 2018
TL;DR: This paper will look at not only why spatial audio can greatly improve virtual experiences, but also some of the new technologies that have become available in recent times which make the implementation of spatial audio far easier and of a higher quality than ever before.
31
A Robust Tracking-by-Detection Algorithm Using Adaptive Accumulated Frame Differencing and Corner Features.
Nahlah Algethami,Sam Redfern +1 more
TL;DR: This work proposes a tracking-by-detection algorithm to track the movements of meeting participants from an overhead camera, combining motion detection using adaptive accumulated frame differencing (AAFD) with Shi-Tomasi corner detection and shows that this approach achieves excellent performance in terms of multiple object tracking accuracy (MOTA) metrics.
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Digital elevation modelling of individual monuments from aerial photographs
TL;DR: In this article, the authors present an algorithm for generating small-area digital elevation models (DEMs) directly from digitised aerial photographs, with no additional information required other than the flying height of the aircraft and a small number of control points measured from maps.
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