Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

The real time rolling shutter

Monaghan, David orcid logoORCID: 0000-0002-5169-9902, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135, Cleary, Anne and Connolly, Denis (2015) The real time rolling shutter. In: 23rd Annual ACM Conference on Multimedia Conference (ACMM 2015), 26-30 Oct 2015, Brisbane, Australia. ISBN 978-1-4503-3459-4

Abstract
From an early age children are often told either, you are creative you should do art but stay away from science and maths. Or that you are mathematical you should do science but you're not that creative. Compounding this there also exist some traditional barriers of artistic rhetoric that say, "don't touch, don't think and don't be creative, we've already done that for you, you can just look...". The Real Time Rolling Shutter is part of a collaborative Art/Science partnership whose core tenets are in complete contrast to this. The Art/Science exhibitions we have created have invited the public to become part of the exhibition by utilising augmented digital mirrors, Kinects, feed-back camera and projector systems and augmented reality perception helmets. The fundamental underlying principles we are trying to adhere to are to foster curiosity, intrigue, wonderment and amazement and we endeavour to draw the audience into the interactive nature of our exhibits and exclaim to everyone that you can be what ever you chose to be, and that everyone can be creative, everyone can be an artist, everyone can be a scientist... all it takes is an inquisitive mind, so come and explore the real-time rolling shutter and be creative.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Art/Science
Subjects:Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of the 23rd Annual ACM Conference on Multimedia Conference. . Association for Computing Machinery. ISBN 978-1-4503-3459-4
Publisher:Association for Computing Machinery
Official URL:http://dl.acm.org/citation.cfm?id=2733373.2808110&...
Copyright Information:© 2015 ACM
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20888
Deposited On:03 Nov 2015 10:51 by David Monaghan . Last Modified 19 Oct 2018 09:48
Documents

Full text available as:

[thumbnail of p731-monaghan.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
4MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record