Recent advances on singlemodal and multimodal face recognition : A survey Zhou,H, Mian,A, Wei,L, Creighton,D, Hossny,M and Nahavandi,S 2014, Recent advances on singlemodal and multimodal face recognition : A survey, IEEE Transactions on Human-Machine Systems, vol. 44, no. 6, pp. 701-716, doi: 10.1109/THMS.2014.2340578. Attached Files Name Description MIMEType Size Downloads Title Recent advances on singlemodal and multimodal face recognition : A survey Author(s) Zhou,H orcid.org/0000-0001-5009-4330 Mian,A Wei,L orcid.org/0000-0001-8267-0283 Creighton,D orcid.org/0000-0002-9217-1231 Hossny,M orcid.org/0000-0002-1593-6296 Nahavandi,S orcid.org/0000-0002-0360-5270 Journal name IEEE Transactions on Human-Machine Systems Volume number 44 Issue number 6 Start page 701 End page 716 Total pages 16 Publisher Institute of Electrical and Electronics Engineers Inc Place of publication Piscataway, NJ Publication date 2014-12-01 ISSN 2168-2291 Keyword(s) 3-D Face recognition infrared multimodal singlemodal survey visual Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Cybernetics Computer Science THERMAL INFRARED IMAGERY PHYSIOLOGICAL INFORMATION FACIAL EXPRESSION LINEAR PROJECTION 3D FUSION DEPTH INVARIANT MODEL Summary High performance for face recognition systems occurs in controlled environments and degrades with variations in illumination, facial expression, and pose. Efforts have been made to explore alternate face modalities such as infrared (IR) and 3-D for face recognition. Studies also demonstrate that fusion of multiple face modalities improve performance as compared with singlemodal face recognition. This paper categorizes these algorithms into singlemodal and multimodal face recognition and evaluates methods within each category via detailed descriptions of representative work and summarizations in tables. Advantages and disadvantages of each modality for face recognition are analyzed. In addition, face databases and system evaluations are also covered. Language eng DOI 10.1109/THMS.2014.2340578 Field of Research 080111 Virtual Reality and Related Simulation 080109 Pattern Recognition and Data Mining 080104 Computer Vision Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Institute of Electrical and Electronics Engineers Inc Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30071496 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Link to full-text (open access)   Connect to published version 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 Wed, 18 Mar 2015, 13:49:21 EST Wed, 18 Mar 2015, 13:50:03 EST Tue, 21 Apr 2015, 15:44:58 EST Wed, 22 Apr 2015, 05:00:06 EST Wed, 22 Apr 2015, 06:14:43 EST Thu, 23 Apr 2015, 12:52:52 EST Thu, 23 Apr 2015, 12:56:34 EST Sat, 09 Nov 2019, 23:36:30 EST Filtered Full Citation counts:   Cited 39 times in TR Web of Science Cited 56 times in Scopus Search Google Scholar Access Statistics: 658 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 21 Apr 2015, 15:44:58 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.