Recognition of sketches in photos

Xiao, B; Gao, X; Tao, D; Li, X

Recognition of sketches in photos

Xiao, B Gao, X Tao, D

Li, X

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Publication Type:: Chapter
Citation:: 2011, 346 pp. 239 - 262
Issue Date:: 2011-05-09

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Field	Value	Language
dc.contributor.author	Xiao, B	en_US
dc.contributor.author	Gao, X	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Li, X	en_US
dc.date.issued	2011-05-09	en_US
dc.identifier.citation	2011, 346 pp. 239 - 262	en_US
dc.identifier.isbn	9783642195501	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31331
dc.description.abstract	Face recognition by sketches in photos makes an important complement to face photo recognition. It is challenging because sketches and photos have geometrical deformations and texture difference. Aiming to achieve better performance in mixture pattern recognition, we reduce difference between sketches and photos by synthesizing sketches from photos, and vice versa, and then transform the sketch-photo recognition to photo-photo/sketch-sketch recognition. Pseudo-sketch/pseudo-photo patches are synthesized with embedded hidden Markov model and integrated to derive pseudo-sketch/pseudo-photo. Experiments are carried out to demonstrate that the proposed methods are effective to produce pseudo-sketch/pseudo-photo with high quality and achieve promising recognition results. © 2011 Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.isbasedon	10.1007/978-3-642-19551-8_8	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Recognition of sketches in photos	en_US
dc.type	Chapter
utslib.citation.volume	346	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	346	en_US

Abstract:

Face recognition by sketches in photos makes an important complement to face photo recognition. It is challenging because sketches and photos have geometrical deformations and texture difference. Aiming to achieve better performance in mixture pattern recognition, we reduce difference between sketches and photos by synthesizing sketches from photos, and vice versa, and then transform the sketch-photo recognition to photo-photo/sketch-sketch recognition. Pseudo-sketch/pseudo-photo patches are synthesized with embedded hidden Markov model and integrated to derive pseudo-sketch/pseudo-photo. Experiments are carried out to demonstrate that the proposed methods are effective to produce pseudo-sketch/pseudo-photo with high quality and achieve promising recognition results. © 2011 Springer-Verlag Berlin Heidelberg.

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