1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3882RRH |
Repository | sid.inpe.br/sibgrapi/2010/09.08.14.13 |
Last Update | 2010:09.08.14.13.33 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2010/09.08.14.13.34 |
Metadata Last Update | 2022:06.14.00.06.59 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2010.53 |
Citation Key | AiresMede:2010:PlSeSy |
Title | A Plane Segmentation System Based on Affine Homography and Optical Flow |
Format | Printed, On-line. |
Year | 2010 |
Access Date | 2024, May 03 |
Number of Files | 1 |
Size | 161 KiB |
|
2. Context | |
Author | 1 Aires, Kelson R T 2 Medeiros, Adelardo A D |
Affiliation | 1 UFPI 2 UFRN |
Editor | Bellon, Olga Esperança, Claudio |
e-Mail Address | krtaires@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 23 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Date | 30 Aug.-3 Sep. 2010 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full 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 Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | plane segmentation optical flow 3D reconstruction |
Abstract | Planes 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2010 > A Plane Segmentation... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A Plane Segmentation... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
|
4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3882RRH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3882RRH |
Language | en |
Target File | sibgrapi2010.pdf |
User Group | krtaires@gmail.com |
Visibility | shown |
|
5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SJT6B 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.20.21 9 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
|
6. Notes | |
Empty Fields | archivingpolicy 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 |
|