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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GGUru
Repositorysid.inpe.br/banon/2005/07.09.13.12
Last Update2005:07.09.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.09.13.12.22
Metadata Last Update2022:06.14.00.12.56 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.47
Citation KeyTorreãoFern:2005:SiShDe
TitleSingle-image shape from defocus
FormatOn-line
Year2005
Access Date2024, Apr. 28
Number of Files1
Size139 KiB
2. Context
Author1 Torreão, José Ricardo de Almeida
2 Fernandes, João Luiz
Affiliation1 Instituto de Computação, Universidade Federal Fluminense
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressjrat@ic.uff.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal, RN, Brazil
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:59 :: jrat -> banon ::
2008-08-26 15:17:01 :: banon -> administrator ::
2009-08-13 20:37:46 :: administrator -> banon ::
2010-08-28 20:01:17 :: banon -> administrator ::
2022-06-14 00:12:56 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsshape from defocus
shape from shading
AbstractThe limited depth of field causes scene points at various distances from a camera to be imaged with different amounts of defocus. If images captured under different aperture settings are available, the defocus measure can be estimated and used for 3D scene reconstruction. Usually, defocusing is modeled by gaussian convolution over local image patches, but the estimation of a defocus measure based on that is hampered by the spurious high-frequencies introduced by windowing. Here we show that this can be ameliorated by the use of unnormalized gaussians, which allow defocus estimation from the zero-frequency Fourier component of the image patches, thus avoiding spurious high frequencies. As our main contribution, we also show that the modified shape from defocus approach can be extended to shape estimation from single shading inputs. This is done by simulating an aperture change, via gaussian convolution, in order to generate the second image required for defocus estimation. As proven here, the gaussian-blurred image carries an explicit depth-dependent blur component - which is missing from an ideal shading input -, and thus allows depth estimation as in the multi-image case.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Single-image shape from...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Single-image shape from...
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/GGUru
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GGUru
Languageen
Target Filetorreaoj_defocus.pdf
User Groupjrat
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.05.04.08 10
sid.inpe.br/banon/2001/03.30.15.38.24 1
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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