Low cost multimodal facial recognition via kinect sensors Hossny, M., Filippidis, D., Abdelrahman, W., Zhou, H., Fielding, M., Mullins, J., Wei, L., Creighton, D., Puri, V. and Nahavandi, S. 2012, Low cost multimodal facial recognition via kinect sensors, in LWC 2012 : Potent land force for a joint maritime strategy : Proceedings of the 2012 Land Warfare Conference, Commonwealth of Australia, Canberra, A.C.T., pp. 77-86. Attached Files Name Description MIMEType Size Downloads hossny-lowcostmultimodal-2012.pdf Published version application/pdf 1.74MB 290 Title Low cost multimodal facial recognition via kinect sensors Author(s) Hossny, M. orcid.org/0000-0002-1593-6296 Filippidis, D. Abdelrahman, W. Zhou, H. Fielding, M. orcid.org/0000-0001-7569-8499 Mullins, J. Wei, L. Creighton, D. orcid.org/0000-0002-9217-1231 Puri, V. Nahavandi, S. orcid.org/0000-0002-0360-5270 Conference name Land Warfare. Conference (2012 : Melbourne, Victoria) Conference location Melbourne, Victoria Conference dates 29 Oct. - 2 Nov. 2012 Title of proceedings LWC 2012 : Potent land force for a joint maritime strategy : Proceedings of the 2012 Land Warfare Conference Editor(s) [Unknown] Publication date 2012 Conference series Land Warfare Conference Start page 77 End page 86 Total pages 10 Publisher Commonwealth of Australia Place of publication Canberra, A.C.T. Keyword(s) low cost multimodal facial recognition kinect sensors Summary This paper presents a novel low cost 3D facial recognition using gaming sensors such as Kinect™. The paper describes the hardware, calibration and infrared noise and pattern interference challenges of integrating multiple Kinect sensors. The preliminary results show a promising trend for low cost solutions that can be populated in crowded facilities such as malls and airports. ISBN 9780980872316 0980872316 Language eng Field of Research 080111 Virtual Reality and Related Simulation Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Copyright notice ©2012, Commonwealth of Australia Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30050969 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 05 Mar 2013, 14:53:25 EST Fri, 07 Jun 2013, 12:26:22 EST Fri, 07 Jun 2013, 15:00:54 EST Fri, 07 Jun 2013, 15:01:31 EST Wed, 12 Jun 2013, 09:55:24 EST Fri, 21 Jun 2013, 16:19:11 EST Mon, 24 Jun 2013, 08:27:01 EST Tue, 13 Aug 2013, 12:20:40 EST Mon, 19 Aug 2013, 11:26:42 EST Mon, 19 Aug 2013, 11:28:06 EST Mon, 02 Dec 2013, 09:14:00 EST Mon, 24 Feb 2014, 11:29:07 EST Wed, 02 Jul 2014, 08:50:22 EST Wed, 02 Jul 2014, 08:53:49 EST Wed, 02 Jul 2014, 08:55:46 EST Wed, 02 Jul 2014, 08:59:06 EST Wed, 02 Jul 2014, 16:00:51 EST Mon, 21 Jul 2014, 12:33:30 EST Thu, 09 Oct 2014, 10:18:24 EST Fri, 10 Oct 2014, 09:03:51 EST Tue, 06 Sep 2016, 20:38:23 EST Tue, 05 Dec 2017, 12:39:14 EST Fri, 07 Sep 2018, 16:24:19 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 1125 Abstract Views, 331 File Downloads  -  Detailed Statistics Created: Tue, 05 Mar 2013, 14:53:25 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.