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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/w4mg6
Repositorysid.inpe.br/banon/2002/11.04.11.57
Last Update2002:11.04.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.04.11.57.02
Metadata Last Update2022:06.14.00.11.59 (UTC) administrator
DOI10.1109/SIBGRA.2000.883889
Citation KeyFerisCesa:2000:TrFaFe
TitleTracking facial features using Gabor wavelet networks
Year2000
Access Date2024, May 04
Number of Files1
Size641 KiB
2. Context
Author1 Feris, Rogério S.
2 Cesar Junior, Roberto M.
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
Pages22-27
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:49 :: administrator -> banon ::
2008-08-26 15:23:00 :: banon -> administrator ::
2009-08-13 20:36:50 :: administrator -> banon ::
2010-08-28 20:00:08 :: banon -> administrator ::
2022-06-14 00:11:59 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsoptical tracking
video sequences
Gabor wavelet networks
automatic facial feature tracking
discrete face template
linear combination
continuous 2D odd-Gabor wavelet functions
2D parameters
image information
homogeneous illumination changes
affine deformations
face image
tracking approach
face geometry
facial feature deformations
eye blinking
smiling
computational resources
real time processing
AbstractThe work presents a method for automatic facial feature tracking in video sequences. In this method, a discrete face template is represented as a linear combination of continuous 2D odd-Gabor wavelet functions. The weights and 2D parameters (position, scale and orientation) of each wavelet are determined optimally so that the maximum amount of image information is preserved for a given number of wavelets. We have used this representation to achieve effective facial feature tracking that is robust to homogeneous illumination changes and affine deformations of the face image. Moreover, the tracking approach considers the overall geometry of the face, being robust to facial feature deformations such as eye blinking and smiling. The number of wavelets in the representation may be chosen with respect to the available computational resources, even allowing real time processing.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Tracking facial features...
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doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/w4mg6
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w4mg6
Target File22-27.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PN6AP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.27.03.08 3
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
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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