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Face recognition via incremental 2DPCA

Lu, Chong, Liu, Wanquan, Venkatesh, Svetha and An, Senjian 2007, Face recognition via incremental 2DPCA, in IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence, AAAI Press, [Hyderabad, India].

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Title Face recognition via incremental 2DPCA
Author(s) Lu, Chong
Liu, Wanquan
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
An, Senjian
Conference name International Joint Conference on Artificial Intelligence (20th : 2007 : Hyderabad, India)
Conference location Hyderabad, India
Conference dates 6-12 Jan. 2007
Title of proceedings IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence
Editor(s) Veloso, Manuela M.
Publication date 2007
Conference series International Joint Conference on Artificial Intelligence
Total pages 6
Publisher AAAI Press
Place of publication [Hyderabad, India]
Keyword(s) 2DPCA model
eigen-space model
face recognition process
batch method
Summary Recently, the Two-Dimensional Principal Component Analysis (2DPCA) model is proposed and proved to be an efficient approach for face recognition. In this paper, we will investigate the incremental 2DPCA and develop a new constructive method for incrementally adding observation to the existing eigen-space model. An explicit formula for incremental learning is derived. In order to illustrate the effectiveness of the proposed approach, we performed some typical experiments and show that we can only keep the eigen-space of previous images and discard the raw images in the face recognition process. Furthermore, this proposed incremental approach is faster when compared to the batch method (2DPCD) and the recognition rate and reconstruction accuracy are as good as those obtained by the batch method.
Notes Paper presented at the First International Workshop on Multimodal Information Retrieval, at IJCAI 2007.
ISBN 9781577352983
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2013, AAAI Press
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044921

Document type: Conference Paper
Collections: School of Information Technology
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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.