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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZ4BFjAq/jhcjj
Repositorydpi.inpe.br/vagner/1999/11.26.16.59
Last Update2000:01.03.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.57.50
Metadata Last Update2022:06.14.00.17.04 (UTC) administrator
DOI10.1109/SIBGRA.1999.805717
Citation KeyFonsecaKenn:1999:CoPoAs
TitleControl point assessment for image registration
Year1999
Access Date2024, May 02
Number of Files3
Size149 KiB
2. Context
Author1 Fonseca, L. M. G.
2 Kenney, C. S.
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
Pages125-132
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 15:23:57 :: banon -> administrator ::
2009-08-13 20:36:19 :: administrator -> banon ::
2010-08-28 20:04:54 :: banon -> administrator ::
2022-06-14 00:17:04 :: administrator -> :: 1999
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscpa algorithm
lloyd algorithm
image
AbstractThis paper presents several extensions of the basic CPA algorithm. First we compare CPA to standard corner detection algorithms and then turn to the question of selecting control points with adequate dispersion since this is crucial for accurate registration. Two selection methods are proposed. The first consists of clustering the control points via the Lloyd algorithm followed by selecting the dominant control point in each cluster. This 'gold stantard' approach produces excellent dispersion but is costly in terms of computacional effort. The second selection method consists of subdividing the image and then selecting dominant control points in each subdivision. This is extremely fast and produces results comparable to the Lloyd selection method. The paper concludes with a discussion of how LS operator norm information can be coupled with anisotropic diffusion to produce smoothed images without corner degradation.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1999 > Control point assessment...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Control point assessment...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jhcjj
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZ4BFjAq/jhcjj
Target File012-30329670.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PDF8P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.25.03.44 7
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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