Unsupervised semantic object segmentation of stereoscopic video sequences

Doulamis, A; Doulamis, N; Ntalianis, K; Kollias, S

dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Ntalianis, K	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:48:27Z
dc.date.available	2014-03-01T01:48:27Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25482
dc.subject	Color Segmentation	en
dc.subject	Depth Map	en
dc.subject	Low Complexity	en
dc.subject	Object Segmentation	en
dc.title	Unsupervised semantic object segmentation of stereoscopic video sequences	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/ICIIS.1999.810342	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIIS.1999.810342	en
heal.publicationDate	1999	en
heal.abstract	In this paper, we present an efficient technique for unsupervised semantically meaningful object segmentation of stereoscopic video sequences. Using this technique we extract semantic objects using the additional information a stereoscopic pair of frames provides. Each pair is analyzed and the disparity field, occluded areas and depth map are estimated. The key algorithm, which is applied on the stereo pair	en
dc.identifier.doi	10.1109/ICIIS.1999.810342	en