Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhou, H-
dc.contributor.authorSadka, A H-
dc.contributor.authorJiang, M-
dc.identifier.citationNinth International Workshop on Image Analysis for Multimedia Interactive Services. Klagenfurt, Austria. May 7-9, 2008.en
dc.description.abstractA new scheme is proposed for extracting planar surfaces from 2D image sequences. We firstly perform feature correspondence over two neighboring frames, followed by the estimation of disparity and depth maps, provided a calibrated camera. We then apply iterative Random Sample Consensus (RANSAC) plane fitting to the generated 3D points to find a dominant plane in a maximum likelihood estimation style. Object points on or off this dominant plane are determined by measuring their Euclidean distance to the plane. Experimental work shows that the proposed scheme leads to better plane fitting results than the classical RANSAC method.en
dc.format.extent1207987 bytes-
dc.title3D inference and modelling for video retrievalen
dc.typeConference Paperen
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
3D inference and modelling for video retrieval.pdf1.18 MBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.