Stereo analysis of archaelogical scenes using monogenic signal representation

Alifragis, M; Tzafestas, CS

dc.contributor.author	Alifragis, M	en
dc.contributor.author	Tzafestas, CS	en
dc.date.accessioned	2014-03-01T02:52:46Z
dc.date.available	2014-03-01T02:52:46Z
dc.date.issued	2010	en
dc.identifier.issn	18650929	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36050
dc.subject	3D reconstruction	en
dc.subject	Disparity map	en
dc.subject	Graph cuts	en
dc.subject	Monogenic signal	en
dc.subject	Phase congruency	en
dc.subject	Phase domain	en
dc.subject.other	3D reconstruction	en
dc.subject.other	Disparity map	en
dc.subject.other	Graph cut	en
dc.subject.other	Monogenic signal	en
dc.subject.other	Phase congruency	en
dc.subject.other	Phase domain	en
dc.subject.other	Computational methods	en
dc.subject.other	Computer graphics	en
dc.subject.other	Computer vision	en
dc.subject.other	Correlation methods	en
dc.subject.other	Cost functions	en
dc.subject.other	Frequency domain analysis	en
dc.subject.other	Graphic methods	en
dc.subject.other	Object recognition	en
dc.subject.other	Three dimensional	en
dc.title	Stereo analysis of archaelogical scenes using monogenic signal representation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-11840-1_10	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-11840-1_10	en
heal.publicationDate	2010	en
heal.abstract	This paper presents the results of an experimental study regarding the application of recent stereo analysis theories in the frequency domain, particularly the phase congruency and monogenic filtering methods. The initial approach to the stereo matching problem employed feature based correlation methods. However, the requirement for more dense depth-map output led us to the development of disparity map estimation methods, minimizing a matching cost function between image regions or pixels. The cost function consists of a newly proposed similarity measure function, based on the geometrical properties of the monogenic signal. Our goal was to examine the performance of these methods in a stereo matching problem setting, on photos of complicated scenes. Two objects were used for this purpose: (i) a scene from an ancient Greek temple of Acropolis and (ii) the outside scene of the gate of an ancient theatre. Due to the complex structure of the photographed objects, classic techniques used for stereo matching give poor results. On the contrary, the three-dimensional models and disparity map of the scene computed when applying the proposed method, are much more detailed and consistent. © 2010 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Communications in Computer and Information Science	en
dc.identifier.doi	10.1007/978-3-642-11840-1_10	en
dc.identifier.volume	68 CCIS	en
dc.identifier.spage	133	en
dc.identifier.epage	145	en