1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/3U36MAB |
Repository | sid.inpe.br/sibgrapi/2019/09.13.05.12 |
Last Update | 2019:09.13.05.12.33 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2019/09.13.05.12.33 |
Metadata Last Update | 2022:06.14.00.09.39 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2019.00030 |
Citation Key | CostaCoutCout:2019:FaReUs |
Title | Face Recognition Using LBP on an Image Transformation Based on Complex Network Degrees |
Format | On-line |
Year | 2019 |
Access Date | 2024, May 11 |
Number of Files | 1 |
Size | 4621 KiB |
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2. Context | |
Author | 1 Costa, Murilo Villas Boas da 2 Couto, Cynthia Martins Villar 3 Couto, Leandro Nogueira |
Affiliation | 1 Uberlandia Federal University 2 Sao Paulo University 3 Uberlandia Federal University |
Editor | Oliveira, Luciano Rebouças de Sarder, Pinaki Lage, Marcos Sadlo, Filip |
e-Mail Address | landovers@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 32 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 28-31 Oct. 2019 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2019-09-13 05:12:33 :: landovers@gmail.com -> administrator :: 2022-06-14 00:09:39 :: administrator -> landovers@gmail.com :: 2019 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | texture recognition local binary patterns complex networks |
Abstract | Automated visual face recognition involves acquiring descriptive features from the image. Local Binary Patterns (LBP) is a powerful method to that end, capably characterizing local features. An crucial limitation of LBP, however, is that the feature vector's size becomes unmanageable when the method employed on even moderately large regions. In order to describe larger scale features, this work proposes a descriptor based on applying the LBP histogram applied to an image transformation based on node degree data derived from a complex network representation of the original image. The complex network generation heuristic and parameters are discussed. The complex network representation is shown to be able to condense larger scale image patterns into a local value that can be handled by LBP. LBP applied to this image transformation yields results that outperform LBP. We validate our proposed approach by applying our method to a face recognition task using three challenging databases. Results demonstrate that, for a large enough complex network generation radius, our method consistently outperforms LBP, while using a feature vector of the same size. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2019 > Face Recognition Using... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Face Recognition Using... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/3U36MAB |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/3U36MAB |
Language | en |
Target File | Face_recognition_using_local_binary_patterns_on_an_image_transformation_based_on_complex_network_degrees___SIBGRAPI_2019.pdf |
User Group | landovers@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/3UA4FNL 8JMKD3MGPEW34M/3UA4FPS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2019/10.25.18.30.33 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark 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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7. Description control | |
e-Mail (login) | landovers@gmail.com |
update | |
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