1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/w4QNS |
Repository | sid.inpe.br/banon/2002/11.05.10.16 |
Last Update | 2002:11.04.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/11.05.10.16.20 |
Metadata Last Update | 2022:06.14.00.12.01 (UTC) administrator |
DOI | 10.1109/SIBGRA.2000.883894 |
Citation Key | SilvaSimoBhar:2000:MuCoSt |
Title | Multiple correspondences in stereo vision under a genetic algorithm approach |
Year | 2000 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 584 KiB |
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2. Context | |
Author | 1 Silva, José Demisio Simões 2 Simoni, Paulo Ouvera 3 Bharadwaj, Kamal Kant |
Editor | Carvalho, Paulo Cezar Pinto Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Date | 17-20 Oct. 2000 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 52-59 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:49 :: administrator -> banon :: 2008-08-26 15:23:00 :: banon -> administrator :: 2009-08-13 20:36:51 :: administrator -> banon :: 2010-08-28 20:00:08 :: banon -> administrator :: 2022-06-14 00:12:01 :: administrator -> :: 2000 |
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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 | stereo image processing stereo vision multiple correspondences genetic algorithm multiple point hierarchical approach computer vision low-level processing area-and-token hybrid method search experimental results |
Abstract | This paper presents a multiple point hierarchical approach to the stereo correspondence problem in computer vision. The low-level processing employs an area-and-token hybrid method to obtain, for distinctive points in one image, a set of points in the other image that are candidates for correspondence. The refinement of the set of low-level correspondences obtained is performed by a high-level N-point simultaneous correspondence process, a new constraint introduced for this problem. The high-level processing uses a genetic algorithm approach for searching the solution space. Experimental results show the effectiveness of the method on real world scenes. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Multiple correspondences in... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Multiple correspondences in... |
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/6qtX3pFwXQZeBBx/w4QNS |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w4QNS |
Target File | 52-59.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46PN6AP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.27.03.08 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
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