1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 83LX3pFwXQZ4BFjAq/jhcjj |
Repository | dpi.inpe.br/vagner/1999/11.26.16.59 |
Last Update | 2000:01.03.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2001/03.30.15.57.50 |
Metadata Last Update | 2022:06.14.00.17.04 (UTC) administrator |
DOI | 10.1109/SIBGRA.1999.805717 |
Citation Key | FonsecaKenn:1999:CoPoAs |
Title | Control point assessment for image registration |
Year | 1999 |
Access Date | 2024, May 02 |
Number of Files | 3 |
Size | 149 KiB |
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2. Context | |
Author | 1 Fonseca, L. M. G. 2 Kenney, C. S. |
Editor | Stolfi, Jorge Tozzi, Clésio Luis |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI) |
Conference Location | Campinas, SP, Brazil |
Date | 17-20 Oct. 1999 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 125-132 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | cpa algorithm lloyd algorithm image |
Abstract | This 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 1999 > Control point assessment... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Control point assessment... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jhcjj |
zipped data URL | http://urlib.net/zip/83LX3pFwXQZ4BFjAq/jhcjj |
Target File | 012-30329670.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46PDF8P 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.25.03.44 7 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Campinas, SP, Brazil, from October 17 to 20. |
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