1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | mtc-m16.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZsFDuKxG/APh4r |
Repository | sid.inpe.br/marciana/2004/01.19.11.28 (restricted access) |
Last Update | 2005:08.11.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/marciana/2004/01.19.11.28.47 |
Metadata Last Update | 2022:06.10.04.44.31 (UTC) administrator |
Secondary Key | INPE-12957-PRE/8236 |
DOI | 10.1109/SIBGRA.2003.1241014 |
Citation Key | SilvaSimo:2003:CoGeDi |
Title | Corresponding Geometric Distorted Images using an Uncertainty Inference Method |
Project | Visão computacional / Desenvolvimento de métodos e sistemas computacionais completos, com qualidade, corretos, seguros e persistentes |
Year | 2003 |
Access Date | 2024, Apr. 27 |
Secondary Type | PRE CN |
Number of Files | 1 |
Size | 3990 KiB |
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2. Context | |
Author | 1 Silva, Jose Demisio Simões da 2 Simoni, P. O. |
Resume Identifier | 1 8JMKD3MGP5W/3C9JHH2 |
Group | 1 LAC-INPE-MCT-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Braz Cubas (UBC) |
Editor | Program Committee |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 16 (SIBGRAPI) |
Conference Location | São Carlos, SP, Brazil |
Date | 12-15 Oct. 2003 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2005-08-11 12:35:53 :: marciana -> administrator :: 2006-11-09 18:34:45 :: administrator -> marciana :: 2008-02-19 18:04:14 :: marciana -> administrator :: 2022-06-10 04:44:31 :: administrator -> :: 2003 |
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3. Content and structure | |
Is the master or a copy? | is a copy |
Content Stage | completed |
Content Type | External Contribution |
Version Type | publisher |
Keywords | COMPUTER SCIENCE Dempster-Shafer theory Distorted images COMPUTAÇÃO APLICADA Teoria de Dempster-Shafer Imagens distorcidas |
Abstract | In this paper we present further results of the application of Dempster-Shafer Theory for uncertainty reasoning in corresponding distorted images in Computer Vision. In previous work Silva and Simoni [12], the model was applied to correspond radiometric distorted images, that is, images presenting differences in brightness and contrast, as an extension of the work developed in Silva and Simoni [11]. The results showed the model is robust when dealing with pairs of non-equalized images and encouraged us to try to correspond geometric distorted images, that is, pairs of images in which one is rotated in relation to the other. In the conducted experiments, the right image was rotated to different angles to simulate the geometric distortions desired. The model corresponded only pair of points in the images and it successfully established the correspondence for the rotated images. As in previous works, the correspondence evidences are based on the contextual and structural features of a point, and they are combined by Dempster´s rule of combination in uncertainty reasoning. A search process maximizes the Belief on the combined evidences. |
Area | COMP |
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 | |
Language | pt |
Target File | corresponding geometric.pdf |
User Group | administrator marciana |
Visibility | shown |
Copy Holder | SID/SCD |
Read Permission | deny from all and allow from 150.163 |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QU2CS |
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6. Notes | |
Empty Fields | archivingpolicy archivist callnumber copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress format isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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