Photo-sketch synthesis and recognition based on subspace learning

Xiao, B; Gao, X; Tao, D; Yuan, Y; Li, J

Photo-sketch synthesis and recognition based on subspace learning

Xiao, B Gao, X Tao, D

Yuan, Y Li, J

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Publication Type:: Journal Article
Citation:: Neurocomputing, 2010, 73 (4-6), pp. 840 - 852
Issue Date:: 2010-01-01

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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	Yuan, Y	en_US
dc.contributor.author	Li, J	en_US
dc.date.issued	2010-01-01	en_US
dc.identifier.citation	Neurocomputing, 2010, 73 (4-6), pp. 840 - 852	en_US
dc.identifier.issn	0925-2312	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15116
dc.description.abstract	This paper aims to reducing difference between sketches and photos by synthesizing sketches from photos, and vice versa, and then performing sketch-sketch/photo-photo recognition with subspace learning based methods. Pseudo-sketch/pseudo-photo patches are synthesized with embedded hidden Markov model. Because these patches are assembled by averaging their overlapping area in most of the local strategy based methods, which leads to blurring effect to the resulted pseudo-sketch/pseudo-photo, we integrate the patches with image quilting. Experiments are carried out to demonstrate that the proposed method is effective to produce pseudo-sketch/pseudo-photo with high quality and achieve promising recognition results. © 2009.	en_US
dc.relation.ispartof	Neurocomputing	en_US
dc.relation.isbasedon	10.1016/j.neucom.2009.10.014	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Photo-sketch synthesis and recognition based on subspace learning	en_US
dc.type	Journal Article
utslib.citation.volume	4-6	en_US
utslib.citation.volume	73	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	17 Psychology and Cognitive Sciences	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.issue	4-6	en_US
pubs.publication-status	Published	en_US
pubs.volume	73	en_US

Abstract:

This paper aims to reducing difference between sketches and photos by synthesizing sketches from photos, and vice versa, and then performing sketch-sketch/photo-photo recognition with subspace learning based methods. Pseudo-sketch/pseudo-photo patches are synthesized with embedded hidden Markov model. Because these patches are assembled by averaging their overlapping area in most of the local strategy based methods, which leads to blurring effect to the resulted pseudo-sketch/pseudo-photo, we integrate the patches with image quilting. Experiments are carried out to demonstrate that the proposed method is effective to produce pseudo-sketch/pseudo-photo with high quality and achieve promising recognition results. © 2009.

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http://hdl.handle.net/10453/15116