Robust techniques for the estimation of structure from motion in the uncalibrated case

Simple item page
dc.contributor.authorBrooks, M.J.
dc.contributor.authorChojnacki, W.
dc.contributor.authorvan den Hengel, A.
dc.contributor.authorBaumela, L.
dc.contributor.conference5th European Conference on Computer Vision (ECCV'98) (2 Jun 1998 - 6 Jun 1998 : Freiburg, Germany)
dc.contributor.editorBurkhardt, H.
dc.contributor.editorNeumann, B.
dc.date.issued1998
dc.description.abstractRobust techniques are developed for determining structure from motion in the uncalibrated case. The structure recovery is based on previous work [7] in which it was shown that a camera undergoing unknown motion and having an unknown, and possibly varying, focal length can be self-calibrated via closed-form expressions in the entries of two matrices derivable from an instantaneous optical flow field. Critical to the recovery process is the obtaining of accurate numerical estimates, up to a scalar factor, of these matrices in the presence of noisy optical flow data. We present techniques for the determination of these matrices via least-squares methods, and also a way of enforcing a dependency constraint that is imposed on these matrices. A method for eliminating outlying flow vectors is also given. Results of experiments with real-image sequences are presented that suggest that the approach holds promise.
dc.description.statementofresponsibilityMichael J. Brooks, Wojciech Chojnacki, Anton van den Hengel, Luis Baumela
dc.identifier.citationLecture Notes in Artificial Intelligence, 1998 / Burkhardt, H., Neumann, B. (ed./s), vol.1406, pp.281-295
dc.identifier.doi10.1007/BFb0055673
dc.identifier.isbn3540645691
dc.identifier.isbn9783540645696
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.orcidChojnacki, W. [0000-0001-7782-1956]
dc.identifier.orcidvan den Hengel, A. [0000-0003-3027-8364]
dc.identifier.urihttp://hdl.handle.net/2440/116359
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofseriesLecture Notes in Computer Science; 1406
dc.rights© Springer-Verlag Berlin Heidelberg 1998
dc.source.urihttps://doi.org/10.1007/BFb0055655
dc.titleRobust techniques for the estimation of structure from motion in the uncalibrated case
dc.typeConference paper
pubs.publication-statusPublished

Files

Collections

Computer Science publications
Australian Institute for Machine Learning publications