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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PF36SS
Repositorysid.inpe.br/sibgrapi/2017/08.16.20.19
Last Update2017:08.16.20.19.17 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.16.20.19.17
Metadata Last Update2022:06.14.00.08.43 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.56
Citation KeySilveiraJung:2017:EvKeEx
TitleEvaluation of Keypoint Extraction and Matching for Pose Estimation using Pairs of Spherical Images
FormatOn-line
Year2017
Access Date2024, May 01
Number of Files1
Size2998 KiB
2. Context
Author1 Silveira, Thiago Lopes Trugillo da
2 Jung, Cláudio Rosito
Affiliation1 Federal University of Rio Grande do Sul - Institute of Informatics
2 Federal University of Rio Grande do Sul - Institute of Informatics
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addresstltsilveira@inf.ufrgs.br
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-16 20:19:17 :: tltsilveira@inf.ufrgs.br -> administrator ::
2022-06-14 00:08:43 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsspherical images
keypoint detection
pose estimation
AbstractKeypoint extraction and matching has been widely studied by the computer vision community, mostly focused on pinhole camera models. In this paper we perform a comparative analysis of four keypoint extraction algorithms applied to full spherical images, particularly in the context of pose estimation. Two of the methods chosen for the comparative study, namely A-KAZE and ASIFT, have been designed considering a perspective camera model, but were already applied in an omnidirectional structure from motion pipeline, generating successful results in the literature. The other two algorithms are properly adapted versions of the traditional descriptors SIFT and ORB to the spherical domain, subbed SSFIT and SPHORB. We conduct our tests on captures of omnidirectional cameras, both synthetic and real, arbitrarily translated and rotated with known ground-truth transformations. The extracted keypoints are fed to the well-known 8-point algorithm with RANSAC, allowing to estimate the relative camera poses. These poses (translation vector and rotation matrix) are then compared to the ground-truth transformation parameters, generating the error metrics used in our analysis. Our results indicated that spherical descriptors SSIFT and SPHORB did not produce better results than planar descriptors A-KAZE and ASIFT in the context of pose estimation, particularly in the evaluation with real image pairs.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Evaluation of Keypoint...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Evaluation of Keypoint...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PF36SS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PF36SS
Languageen
Target Fileapplication.pdf
User Grouptltsilveira@inf.ufrgs.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark 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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