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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3882RRH
Repositorysid.inpe.br/sibgrapi/2010/09.08.14.13
Last Update2010:09.08.14.13.33 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/09.08.14.13.34
Metadata Last Update2022:06.14.00.06.59 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.53
Citation KeyAiresMede:2010:PlSeSy
TitleA Plane Segmentation System Based on Affine Homography and Optical Flow
FormatPrinted, On-line.
Year2010
Access Date2024, May 03
Number of Files1
Size161 KiB
2. Context
Author1 Aires, Kelson R T
2 Medeiros, Adelardo A D
Affiliation1 UFPI
2 UFRN
EditorBellon, Olga
Esperança, Claudio
e-Mail Addresskrtaires@gmail.com
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:39 :: krtaires@gmail.com -> administrator :: 2010
2022-06-14 00:06:59 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsplane segmentation
optical flow
3D reconstruction
AbstractPlanes are important geometric features and can be used in a wide range of vision tasks like scene reconstruc- tion, path planning and robot navigation. This work aims to illustrate a plane segmentation system based on homography computation and optical flow estimation. Firstly, using two image frames from a monocular sequence, a set of match pairs of interest points is obtained. An algorithm was developed to cluster interest points belonging to the same plane based on the reprojection error of the affine homography. From the calculated homographies, the planar flow is computed for each image pixel. Following this, the estimated optical flow is used to expand and identify each detected plane. An optical flow estimation method based on color information is presented. Tests were performed in different sequences of indoor and outdoor images and results validate the proposed system.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > A Plane Segmentation...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A Plane Segmentation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3882RRH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3882RRH
Languageen
Target Filesibgrapi2010.pdf
User Groupkrtaires@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 9
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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