Facial feature extraction and recognition for traditional Chinese physiognomy

Liu, Y; Huang, ML; Liang, J; Huang, W

Facial feature extraction and recognition for traditional Chinese physiognomy

Liu, Y Huang, ML

Liang, J

Huang, W

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Conference on Information Visualisation, 2016, 2016-August pp. 408 - 412
Issue Date:: 2016-08-31

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Field	Value	Language
dc.contributor.author	Liu, Y	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Liang, J https://orcid.org/0000-0001-7179-5208	en_US
dc.contributor.author	Huang, W https://orcid.org/0000-0002-5190-7839	en_US
dc.date.issued	2016-08-31	en_US
dc.identifier.citation	Proceedings of the International Conference on Information Visualisation, 2016, 2016-August pp. 408 - 412	en_US
dc.identifier.isbn	9781467389426	en_US
dc.identifier.issn	1093-9547	en_US
dc.identifier.uri	http://hdl.handle.net/10453/46432
dc.description.abstract	© 2016 IEEE. We propose a novel calculation method of personality based on the Chinese physiognomy. The proposed solution combines the ancient and the modem physiognomy to summarize the corresponding relation between the personality and facial feature and model the baseline to shape the face feature. We compute histogram of image by searching for the threshold values to create a binary image in an adaptive way. The two-pass connected component method indicates the feature region. We encode the binary image to remove the noise point, so that the new connected image can provide a better result. The method was tested on ORL face database.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP0669645
dc.relation.ispartof	Proceedings of the International Conference on Information Visualisation	en_US
dc.relation.isbasedon	10.1109/IV.2016.37	en_US
dc.title	Facial feature extraction and recognition for traditional Chinese physiognomy	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2016-August	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	080499 Data Format not elsewhere classified	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2016-August	en_US

Abstract:

© 2016 IEEE. We propose a novel calculation method of personality based on the Chinese physiognomy. The proposed solution combines the ancient and the modem physiognomy to summarize the corresponding relation between the personality and facial feature and model the baseline to shape the face feature. We compute histogram of image by searching for the threshold values to create a binary image in an adaptive way. The two-pass connected component method indicates the feature region. We encode the binary image to remove the noise point, so that the new connected image can provide a better result. The method was tested on ORL face database.

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http://hdl.handle.net/10453/46432