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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/wiMCa
Repositorysid.inpe.br/banon/2002/11.29.10.44
Last Update2002:11.14.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.29.10.44.27
Metadata Last Update2022:09.13.03.49.00 (UTC) administrator
DOI10.1109/SIBGRAPI.2001.963039
Citation KeyCunhaTeixVelh:2001:DiScSp
TitleDiscrete scale spaces via heat equation
Year2001
Access Date2024, May 02
Number of Files1
Size814 KiB
2. Context
Author1 Cunha, Anderson
2 Teixeira, Ralph
3 Velho, Luiz Carlos Pacheco Rodrigues
EditorBorges, Leandro Díbio
Wu, Shin-Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)
Conference LocationFlorianópolis, SC, Brazil
Date15-18 Oct. 2001
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages68-75
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:52 :: administrator -> banon ::
2008-08-26 15:22:02 :: banon -> administrator ::
2009-08-13 20:37:07 :: administrator -> banon ::
2010-08-28 20:00:12 :: banon -> administrator ::
2022-09-13 03:49:00 :: administrator -> :: 2001
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsscale spaces
Crossed Convolutions
Laplacian
Poisson kernel
AbstractScale spaces allow us to organize, compare and analyse differently sized structures of an object. The linear scale space of a monochromatic image is the solution of the heat equation using that image as an initial condition. Alternatively, this linear scale space can also be obtained applying Gaussian filters of increasing variances to the original image. In this work, we compare (by looking at theoretical properties, running time and output differences) three ways of discretizing this Gaussian scale-space: sampling Gaussian distributions; approximating by first-order generators; and finally, by a new method we call "Crossed Convolutions".In particular, we explicity present a corret way of initializing the recursive method approximate Gaussian convolutions.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Discrete scale spaces...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Discrete scale spaces...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/wiMCa
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/wiMCa
Languageen
Target File68-75.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46Q6TJ5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.29.19.35 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Florianópolis, SC, Brazil, from October 15 to 18.
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