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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/388FMRE
Repositorysid.inpe.br/sibgrapi/2010/09.11.12.29
Metadatasid.inpe.br/sibgrapi/2010/09.11.12.29.49
Sitesibgrapi.sid.inpe.br
Citation KeyPereiraGomeCarv:2010:NoApSu
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
TitleIntegral Local Binary Patterns: a Novel Approach Suitable for Texture-Based Object Detection Tasks
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Year2010
EditorBellon, Olga
Esperança, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
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.
Languageen
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size168 KiB
Number of Files1
Target File70827_2.pdf
Last Update2010:09.11.12.29.49 sid.inpe.br/banon/2001/03.30.15.38 eanes@dsc.ufcg.edu.br
Metadata Last Update2010:10.01.04.19.39 sid.inpe.br/banon/2001/03.30.15.38 eanes@dsc.ufcg.edu.br {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Mirrordpi.inpe.br/banon-pc2@80/2006/08.30.19.27
e-Mail Addresseanes@dsc.ufcg.edu.br
User Groupeanes@dsc.ufcg.edu.br
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
source Directory Contentthere are no files
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History2010-10-01 04:19:39 :: eanes@dsc.ufcg.edu.br -> :: 2010
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
Access Date2020, Nov. 27

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