Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/116359
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Brooks, M.J. | - |
dc.contributor.author | Chojnacki, W. | - |
dc.contributor.author | van den Hengel, A. | - |
dc.contributor.author | Baumela, L. | - |
dc.contributor.editor | Burkhardt, H. | - |
dc.contributor.editor | Neumann, B. | - |
dc.date.issued | 1998 | - |
dc.identifier.citation | Lecture Notes in Artificial Intelligence, 1998 / Burkhardt, H., Neumann, B. (ed./s), vol.1406, pp.281-295 | - |
dc.identifier.isbn | 3540645691 | - |
dc.identifier.isbn | 9783540645696 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | http://hdl.handle.net/2440/116359 | - |
dc.description.abstract | Robust 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.statementofresponsibility | Michael J. Brooks, Wojciech Chojnacki, Anton van den Hengel, Luis Baumela | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science; 1406 | - |
dc.rights | © Springer-Verlag Berlin Heidelberg 1998 | - |
dc.source.uri | https://doi.org/10.1007/BFb0055655 | - |
dc.title | Robust techniques for the estimation of structure from motion in the uncalibrated case | - |
dc.type | Conference paper | - |
dc.contributor.conference | 5th European Conference on Computer Vision (ECCV'98) (2 Jun 1998 - 6 Jun 1998 : Freiburg, Germany) | - |
dc.identifier.doi | 10.1007/BFb0055673 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Chojnacki, W. [0000-0001-7782-1956] | - |
dc.identifier.orcid | van den Hengel, A. [0000-0003-3027-8364] | - |
Appears in Collections: | Aurora harvest 3 Australian Institute for Machine Learning publications Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.