Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2005: (UTC) administrator
Metadata Last Update2020: (UTC) administrator
Citation KeyOliveiraWazl:2005:LiCoSt
TitleLinear complexity stereo matching based on region indexing
Access Date2021, Dec. 07
Number of Files1
Size1434 KiB
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Author1 Oliveira, Marco Antonio Floriano de
2 Wazlavick, Raul Sidnei
Affiliation1 Federal University of Santa Catarina (UFSC)
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:11:01 :: oliveira -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:58 :: administrator -> banon ::
2010-08-28 20:01:20 :: banon -> administrator ::
2020-02-19 03:19:23 :: administrator -> :: 2005
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsstereo vision
linear complexity
AbstractThis paper presents a linear complexity method for real-time stereo matching, in which the processing time is only dependent on the image resolution. Regions along each epipolar line are indexed to produce the disparity map, instead of searching for the best match. Current local methods have non-linear complexity, as they all rely on searching through a correlation space. The present method is limited to a parallel camera setup, because all disparities must occur in the same direction. A continuity constraint is applied in order to remove false matches. The resulting map is semi-dense, but disparities are well distributed. Experimental results on standard datasets reach around 90% of accuracy using the same parameters in all tests.
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User Groupoliveira
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