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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/w4kh2
Repositorysid.inpe.br/banon/2002/11.04.11.11
Last Update2002:11.04.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.04.11.11.14
Metadata Last Update2022:06.14.00.11.58 (UTC) administrator
DOI10.1109/SIBGRA.2000.883887
Citation KeyTorrećo:2000:ShShIn
TitleShape from shading and intensity gradient
Year2000
Access Date2024, May 04
Number of Files1
Size689 KiB
2. Context
AuthorTorrećo, José R. A.
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date17-20 Oct. 2000
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:48 :: administrator -> banon ::
2008-08-26 15:23:00 :: banon -> administrator ::
2009-08-13 20:36:49 :: administrator -> banon ::
2010-08-28 20:00:08 :: banon -> administrator ::
2022-06-14 00:11:58 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscomputer vision
shape from shading
intensity gradient
shape estimation
brightness gradient
Green function approach
shape-from-shading
GSFS
single brightness image
uniform disparity field
matching image
linear expansion
reflectance map
surface gradient
closed-form depth map
free parameters
parameter estimation
depth estimate
higher-frequency components
imaged surface
real images
computer vision technique
AbstractWe present a novel algorithm for shape estimation, using both brightness and brightness gradient as input data. Our algorithm is an improvement of the recently introduced Green's function approach to shape-from-shading (GSFS). In GSFS, we assume that the single brightness image will be matched to a second image through a uniform disparity field, and solve for the matching image via Green's function. When a linear expansion of the reflectance map is considered, the matching image can be related to surface gradient, leading to a closed-form depth map whose free parameters are easily estimated. The author shows that the same procedure can be repeated with the gradient image as input; a second depth estimate thus results which takes into account higher-frequency components of the imaged surface. Extensive experimentation with synthetic and real images corroborates the advantage of the new method.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Shape from shading...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/w4kh2
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w4kh2
Target File7-14.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PN6AP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.27.03.08 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
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