Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/56252
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DC Field | Value | Language |
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dc.contributor.author | Gobara, M. | - |
dc.contributor.author | Suter, D. | - |
dc.contributor.editor | Narayanan, P.J. | - |
dc.contributor.editor | Nayar, S.K. | - |
dc.contributor.editor | Shum, H.Y. | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | Computer Vision – ACCV 2006: 7th Asian Conference on Computer Vision Hyderabad, India, January 13-16, 2006, Proceedings, Part II / P.J. Narayanan, Shree K. Nayar, Heung-Yeung Shum (eds.), pp.643-652 | - |
dc.identifier.isbn | 3-540-31244-7 | - |
dc.identifier.isbn | 9783540312444 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | http://hdl.handle.net/2440/56252 | - |
dc.description | © Springer-Verlag Berlin Heidelberg 2006 | - |
dc.description.abstract | The problem of detecting local image features that are invariant to scale, orientation, illumination and viewpoint changes is a critical issue in many computer vision applications. The challenges involve localizing the image features accurately in the spatial and frequency domains and describing them with a stable analytical representation. In this paper we address these two issues by proposing a new non-linear scale-space implementation that improves the localization accuracy of the SIFT [3] local features. Furthermore we propose a simple adjustment to the standard SIFT descriptor and show that the modified version is more robust to affine changes. | - |
dc.description.statementofresponsibility | Mohamed Gobara and David Suter | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science, 2006; 3852: 643-652 | - |
dc.source.uri | http://dx.doi.org/10.1007/11612704_64 | - |
dc.title | Feature detection with an improved anisotropic filter. | - |
dc.type | Conference paper | - |
dc.contributor.conference | Asian Conference on Computer Vision (7th : 2006 : Hyderabad, India) | - |
dc.identifier.doi | 10.1007/11612704_64 | - |
dc.publisher.place | Berlin | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Suter, D. [0000-0001-6306-3023] | - |
Appears in Collections: | Aurora harvest Computer Science publications |
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