Unsupervised segmentation of stereoscopic video objects: investigation of two depth-based approaches

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

dc.contributor.author	Ntalianis, K	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:49:11Z
dc.date.available	2014-03-01T02:49:11Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34393
dc.subject	Active Contour	en
dc.subject	Color Segmentation	en
dc.subject	Fitness Function	en
dc.subject	Unsupervised Segmentation	en
dc.subject	Video Object Segmentation	en
dc.subject	Video Object	en
dc.title	Unsupervised segmentation of stereoscopic video objects: investigation of two depth-based approaches	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICDSP.2002.1028185	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICDSP.2002.1028185	en
heal.publicationDate	2002	en
heal.abstract	Two unsupervised video object segmentation techniques are proposed and are compared in terms of computational cost and segmentation quality. Both methods are based on the exploitation of depth information. In particular a depth segments map is initially estimated by analyzing a stereoscopic pair of frames and applying a segmentation algorithm. Next, considering the first "constrained fusion of color segments" (CFCS)	en
heal.journalName	International Conference on Digital Signal Processing	en
dc.identifier.doi	10.1109/ICDSP.2002.1028185	en