Sangam: A Confluence of Knowledge Streams

3D inference and modelling for video retrieval

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dc.creator Zhou, H
dc.creator Sadka, A H
dc.creator Jiang, M
dc.date 2008-06-20T11:22:21Z
dc.date 2008-06-20T11:22:21Z
dc.date 2008
dc.date.accessioned 2022-05-25T13:23:32Z
dc.date.available 2022-05-25T13:23:32Z
dc.identifier Ninth International Workshop on Image Analysis for Multimedia Interactive Services. Klagenfurt, Austria. May 7-9, 2008.
dc.identifier http://bura.brunel.ac.uk/handle/2438/2425
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/165592
dc.description A 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.
dc.format 1207987 bytes
dc.format application/pdf
dc.language en
dc.publisher IEEE
dc.title 3D inference and modelling for video retrieval
dc.type Conference Paper
dc.coverage 4


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