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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/DFcsq
Repositorysid.inpe.br/banon/2004/10.05.12.28
Last Update2004:10.05.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/10.05.12.28.40
Metadata Last Update2022:06.14.00.12.50 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352960
Citation KeyTorreãoFern:2004:PhShSh
TitleFrom photometric-motion to shape from shading
FormatOn-line
Year2004
Access Date2024, May 03
Number of Files1
Size235 KiB
2. Context
Author1 Torreão, José Ricardo de Almeida
2 Fernandes, João Luiz
Affiliation1 Universidade Federal Fluminense
2 Pontifícia Universidade Católica do Paraná
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addressjrat@ic.uff.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:58 :: jrat -> banon ::
2008-08-26 15:15:44 :: banon -> administrator ::
2009-08-13 20:37:40 :: administrator -> banon ::
2010-08-28 20:01:16 :: banon -> administrator ::
2022-06-14 00:12:50 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscomputer vision
shape estimation
Green's function
AbstractA new approach to shape estimation from shading input has been recently introduced through the processes of disparity-based photometric stereo (DBPS) and Green's function shape from shading (GSFS). Both processes start from a pair of constraints - a matching constraint and a photometric constraint - to arrive at a closed-form expression for the depth function of the imaged surface. In DBPS, the matching equation is solved for the disparity map, given a pair of photometric stereo images, while in GSFS, which extends the previous approach to single-input reconstruction, that equation is solved for the matching image, via Green's function. Adopting a similar framework, we have recently used photometric and matching constraints for deriving a new approach to the photometric-motion shape estimation problem. Here we show how we can extend that process to the single-input case, via Green's function. This yields high quality shape-from-shading estimates, even from real input obtained under complex illumination.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > From photometric-motion to...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > From photometric-motion to...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/DFcsq
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/DFcsq
Languageen
Target FileTorreao_Fernandes.pdf
User Groupjrat
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 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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