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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZ4BFjAq/jiHhi
Repositorydpi.inpe.br/vagner/1999/11.29.09.43
Last Update2000:01.03.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.58.14
Metadata Last Update2022:06.14.00.17.09 (UTC) administrator
DOI10.1109/SIBGRA.1999.805724
Citation KeyRibeiroHanc:1999:ScAdMe
TitleA scale adaptive method for estimating the perspective pose of texture planes
Year1999
Access Date2024, May 02
Number of Files3
Size229 KiB
2. Context
Author1 Ribeiro, Eraldo
2 Hancock, Edwin R.
EditorStolfi, Jorge
Tozzi, Clésio Luis
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI)
Conference LocationCampinas, SP, Brazil
Date17-20 Oct. 1999
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages187-194
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society and UNICAMP - University of Campinas
History (UTC)2008-07-17 14:17:59 :: administrator -> banon ::
2008-08-26 15:23:58 :: banon -> administrator ::
2009-08-13 20:36:23 :: administrator -> banon ::
2010-08-28 20:04:55 :: banon -> administrator ::
2022-06-14 00:17:09 :: administrator -> :: 1999
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsshape-from-texture
unit-sphere accumulation
adaptive spectral analysis
texture analysis
planar surface recovery
AbstractMultiple vanishing point detection provides the key to recovering the perspective pose of textured planes. If vanishing points are to be detected from spectral information then there are two computational problems that need to be solved. Firstly, the search of the extended image plane is unbounded, and hence the location of vanishing points at or near infinity is difficult. Secondly, correspondences between local spectra need to be established so that vanishing points can be triangulated. In this paper we offer a way of overcoming these two difficulties. We overcome the problem of unbounded search by mapping the information provided by local spectral maps onto a great circle on the unit-sphere. The need for correspondence is overcome by accumulating the great circle intercepts. Vanishing points occur at local accumulator maxima on the unit sphere. To improve the accuracy of the recovered perspective pose parameters for highly slanted planes, we use an adaptive spectral window. This selects the window so as to reduce spectral defocusing by minimising the determinant of the spectral covariance matrix. We experiment with the new shape-from-texture technique on both synthetic and real world data. Here it proves to be an accurate and robust means of estimating perspective pose.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jiHhi
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZ4BFjAq/jiHhi
Target File039-23514808.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PDF8P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.25.03.44 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campinas, SP, Brazil, from October 17 to 20.
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