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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/45CTJNE
Repositorysid.inpe.br/sibgrapi/2021/09.06.15.20
Last Update2021:09.06.15.20.08 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2021/09.06.15.20.08
Metadata Last Update2022:06.14.00.00.28 (UTC) administrator
DOI10.1109/SIBGRAPI54419.2021.00015
Citation KeyBergmannPintSilvJung:2021:GrAlSi
TitleGravity Alignment for Single Panorama Depth Inference
FormatOn-line
Year2021
Access Date2024, May 06
Number of Files1
Size6380 KiB
2. Context
Author1 Bergmann, Matheus Alan
2 Pinto, Paulo Gamarra Lessa
3 Silveira, Thiago Lopes Trugillo da
4 Jung, Cláudio Rosito
Affiliation1 UFRGS 
2 UFRGS 
3 UFRGS 
4 UFRGS
EditorPaiva, Afonso
Menotti, David
Baranoski, Gladimir V. G.
Proença, Hugo Pedro
Junior, Antonio Lopes Apolinario
Papa, João Paulo
Pagliosa, Paulo
dos Santos, Thiago Oliveira
e Sá, Asla Medeiros
da Silveira, Thiago Lopes Trugillo
Brazil, Emilio Vital
Ponti, Moacir A.
Fernandes, Leandro A. F.
Avila, Sandra
e-Mail Addressdrtltsilveira@gmail.com
Conference NameConference on Graphics, Patterns and Images, 34 (SIBGRAPI)
Conference LocationGramado, RS, Brazil (virtual)
Date18-22 Oct. 2021
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2021-09-06 15:20:08 :: drtltsilveira@gmail.com -> administrator ::
2022-03-02 00:54:15 :: administrator -> menottid@gmail.com :: 2021
2022-03-02 13:21:25 :: menottid@gmail.com -> administrator :: 2021
2022-06-14 00:00:28 :: administrator -> :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsupright adjustment
360-degree images
depth estimation
panoramas
AbstractMonocular depth inference methods based on 360° images allow 3D reconstruction of entire rooms with a single capture. However, most state-of-the-art approaches assume gravity-aligned images and are highly sensitive to camera rotations. Such limitations result in poor depth estimates, which may jeopardize further 3D-based applications. Here, we present a pipeline for spherical single-image depth inference supplied by a novel rotation correction module. We show that our gravity alignment module can improve existing single-image depth estimation methods, being also useful for aligning color and depth to the horizon, which is highly desirable in many applications.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2021 > Gravity Alignment for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Gravity Alignment for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 06/09/2021 12:20 1.3 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/45CTJNE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/45CTJNE
Languageen
Target FileSIBGRAPI_2021___Upright_Correction_and_Depth_Estimation.pdf
User Groupdrtltsilveira@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/45PQ3RS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2021/11.12.11.46 4
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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