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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/388FMRE
Repositorysid.inpe.br/sibgrapi/2010/09.11.12.29
Last Update2010:09.11.12.29.49 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/09.11.12.29.49
Metadata Last Update2022:06.14.00.07.03 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.35
Citation KeyPereiraGomeCarv:2010:NoApSu
TitleIntegral Local Binary Patterns: a Novel Approach Suitable for Texture-Based Object Detection Tasks
FormatPrinted, On-line.
Year2010
Access Date2024, May 02
Number of Files1
Size168 KiB
2. Context
Author1 Pereira, Eanes Torres
2 Gomes, Herman Martins
3 Carvalho, João Marques de
Affiliation1 Departamento de Sistemas e Computação - Universidade Federal de Campina Grande
2 Departamento de Sistemas e Computação - Universidade Federal de Campina Grande
3 Departamento de Engenharia Elétrica - Universidade Federal de Campina Grande
EditorBellon, Olga
Esperança, Claudio
e-Mail Addresseanes@dsc.ufcg.edu.br
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:39 :: eanes@dsc.ufcg.edu.br -> administrator :: 2010
2022-06-14 00:07:03 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsIntegral Histograms
Local Binary Patterns
Integral LBP
Face Detection
AbstractThis work is concerned with the proposition and empirical evaluation of a new feature extraction approach that combines two existing image descriptors, Integral Histograms and Local Binary Patterns (LBP), to achieve a representation that exhibits relevant properties to object detection tasks (such as face detection): fast constant time processing, rotation, and scale invariance. This novel approach is called the Integral Local Binary Patterns (INTLBP), which is based on an existing method for calculating Integral Histograms from LBP images. This paper empirically demonstrates the properties of INTLBP in a scenario of texture extraction for face/non-face classification. Experiments have shown that the new representation added robustness to scale variations in the test images - the proposed approach achieved a mean classification rate 92% higher than the standard Rotation Invariant LBP approach, when testing over images with scales different from the ones used for training. Moreover, the INTLBP dramatically reduced the required processing time when searching patterns in a face detection task.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Integral Local Binary...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Integral Local Binary...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/388FMRE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/388FMRE
Languageen
Target File70827_2.pdf
User Groupeanes@dsc.ufcg.edu.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 5
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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