On Person Authentication by Fusing Visual and Thermal Face Biometrics Arandjelovic, Ognjen, Hammoud, R I and Cipolla, R 2006, On Person Authentication by Fusing Visual and Thermal Face Biometrics, in AVSS 2006 : Proceedings of the International Conference on Video and Signal Based Surveillance 2006, IEEE, Piscataway, New Jersey, pp. 50-56, doi: 10.1109/AVSS.2006.86. Attached Files Name Description MIMEType Size Downloads arandjelovic-onperson-2006.pdf Published version application/pdf 926.15KB 73 Title On Person Authentication by Fusing Visual and Thermal Face Biometrics Author(s) Arandjelovic, Ognjen Hammoud, R I Cipolla, R Conference name International Conference on Video and Signal Based Surveillance (2006 : Sydney, NSW) Conference location Sydney, NSW Conference dates 22-24 Nov. 2006 Title of proceedings AVSS 2006 : Proceedings of the International Conference on Video and Signal Based Surveillance 2006 Editor(s) [Unknown] Publication date 2006 Conference series International Conference on Video and Signal Based Surveillance Start page 50 End page 56 Total pages 7 Publisher IEEE Place of publication Piscataway, New Jersey Keyword(s) recognition algorithms data acquisition face recognition imaging techniques spectrum analysis Summary Recognition algorithms that use data obtained by imaging faces in the thermal spectrum are promising in achieving invariance to extreme illumination changes that are often present in practice. In this paper we analyze the performance of a recently proposed face recognition algorithm that combines visual and thermal modalities by decision level fusion. We examine (i) the effects of the proposed data preprocessing in each domain, (ii) the contribution to improved recognition of different types of features, (iii) the importance of prescription glasses detection, in the context of both 1-to-N and 1-to-1 matching (recognition vs. verification performance). Finally, we discuss the significance of our results and, in particular, identify a number of limitations of the current state-of-the-art and propose promising directions for future research. ISBN 0769526888 Language eng DOI 10.1109/AVSS.2006.86 Field of Research 080104 Computer Vision 080106 Image Processing 080109 Pattern Recognition and Data Mining Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2006, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30058437 Document type: Conference Paper Collections: Centre for Pattern Recognition and Data Analytics Open Access Collection 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, 26 Nov 2013, 12:53:31 EST Tue, 26 Nov 2013, 13:30:06 EST Mon, 03 Feb 2014, 11:28:05 EST Tue, 17 Nov 2015, 14:00:03 EST Tue, 06 Sep 2016, 22:07:18 EST Tue, 05 Dec 2017, 12:44:53 EST Fri, 07 Sep 2018, 16:48:36 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 102 Abstract Views, 73 File Downloads  -  Detailed Statistics Created: Tue, 26 Nov 2013, 12:53:31 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.