Using age information as a soft biometric trait for face image analysis Wang, Haoyi, Sanchez, Victor, Ouyang, Wanli and Li, Chang-Tsun 2020, Using age information as a soft biometric trait for face image analysis. In Jiang, Richard, Li, Chang-Tsun, Crookes, Danny, Meng, Weizhi and Rosenberger, Christophe (ed), Deep biometrics, Springer, Cham, Switzerland, pp.1-20, doi: 10.1007/978-3-030-32583-1_1. Attached Files Name Description MIMEType Size Downloads Title Using age information as a soft biometric trait for face image analysis Author(s) Wang, Haoyi Sanchez, Victor Ouyang, Wanli Li, Chang-Tsun orcid.org/0000-0003-4735-6138 Title of book Deep biometrics Editor(s) Jiang, Richard Li, Chang-Tsun orcid.org/0000-0003-4735-6138 Crookes, Danny Meng, Weizhi Rosenberger, Christophe Publication date 2020 Series Unsupervised and semi-supervised learning Chapter number 1 Total chapters 13 Start page 1 End page 20 Total pages 20 Publisher Springer Place of Publication Cham, Switzerland Keyword(s) Soft biometrics Age estimation Age synthesis Age-invariant face recognition Facial analysis Deep learning Convolutional neural network ISBN 9783030325824 ISSN 2522-848X 2522-8498 Language eng DOI 10.1007/978-3-030-32583-1_1 Indigenous content off HERDC Research category B1 Book chapter Persistent URL http://hdl.handle.net/10536/DRO/DU:30141064 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 24 Aug 2020, 11:57:07 EST Tue, 25 Aug 2020, 05:00:56 EST Tue, 25 Aug 2020, 06:03:58 EST Fri, 11 Sep 2020, 09:16:02 EST Fri, 11 Sep 2020, 09:17:47 EST Fri, 11 Sep 2020, 09:18:50 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 30 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 24 Aug 2020, 11:57:07 EST

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