Occluded Face Recovery by Image Retrieval

In this paper, we propose an occluded face recovery framework to improve the face recognition rate for the occlusion case. The occluded facial image of an unseen testing subject is automatically recovered, the generated results are diverse and fit the personal characteristics of the observable regio...

Full description

Saved in:
Bibliographic Details
Published in2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) pp. 1 - 2
Main Authors Tu, Ching-Ting, Lee, Kuan-Hsin
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.11.2021
Subjects
Communication systems
Data models
Face recognition
Generative adversarial network
Image inpainting
Image recognition
Image retrieval
Signal processing
Testing
Variational Autoencoders
Online AccessGet full text

Cover

Abstract In this paper, we propose an occluded face recovery framework to improve the face recognition rate for the occlusion case. The occluded facial image of an unseen testing subject is automatically recovered, the generated results are diverse and fit the personal characteristics of the observable regions, and thus can be used to increase the face recognition performance for occlusion cases.
AbstractList In this paper, we propose an occluded face recovery framework to improve the face recognition rate for the occlusion case. The occluded facial image of an unseen testing subject is automatically recovered, the generated results are diverse and fit the personal characteristics of the observable regions, and thus can be used to increase the face recognition performance for occlusion cases.
Author Tu, Ching-Ting
Lee, Kuan-Hsin
Author_xml – sequence: 1
  givenname: Ching-Ting
  surname: Tu
  fullname: Tu, Ching-Ting
  email: cttu@nchu.edu.tw
  organization: National Chung Hsing University,Department of Applied Mathematics,Taichung
– sequence: 2
  givenname: Kuan-Hsin
  surname: Lee
  fullname: Lee, Kuan-Hsin
  email: c05303330@gmail.com
  organization: Tamkang University,Dept. of Computer Science and Information Engineering,New Taipei City
BookMark eNotjsFKw0AQQFfQg9Z-QS-5ekjc2Z2d3TmWYDVQqNjey2Z3UgJpK1EL-XsRe3rwDo_3oG5P55MoVYCuADQ_N9v3Zb114MhWRhuomJxmb2_UnH0AIofADsy9etqkNPxkycUqJik-JJ0vMk5FOxXNMR7-zPfYyyUOj-qui8OXzK-cqd3qZVe_levNa1Mv12WPwZbMZB1a8SzgTGbMJreIOmuESBjIBMjiW6ZsUyDXxWSko9YHDEJo7Ewt_rO9iOw_x_4Yx2l__be_VvA-CA
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ISPACS51563.2021.9650973
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE/IET Electronic Library
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781665419512
1665419512
EndPage 2
ExternalDocumentID 9650973
Genre orig-research
GrantInformation_xml – fundername: Ministry of Science and Technology
  funderid: 10.13039/100007225
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i483-9963543e79e152d94d2db440d041a6486281de7b96d3c865fac2ef6b7848e6423
IEDL.DBID RIE
IngestDate Thu Jun 29 18:37:46 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i483-9963543e79e152d94d2db440d041a6486281de7b96d3c865fac2ef6b7848e6423
PageCount 2
ParticipantIDs ieee_primary_9650973
PublicationCentury 2000
PublicationDate 2021-Nov.-16
PublicationDateYYYYMMDD 2021-11-16
PublicationDate_xml – month: 11
  year: 2021
  text: 2021-Nov.-16
  day: 16
PublicationDecade 2020
PublicationTitle 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
PublicationTitleAbbrev ISPACS
PublicationYear 2021
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.7785108
Snippet In this paper, we propose an occluded face recovery framework to improve the face recognition rate for the occlusion case. The occluded facial image of an...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Communication systems
Data models
Face recognition
Generative adversarial network
Image inpainting
Image recognition
Image retrieval
Signal processing
Testing
Variational Autoencoders
Title Occluded Face Recovery by Image Retrieval
URI https://ieeexplore.ieee.org/document/9650973
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LSwMxEB7anjyptOKbPXgRzHZ3kyaboxRLK1QLrdBbyWMWRG1Fuof6651sH6J48BYmCbt5kC_f7nwzAFci16jQ5UxapZkocsMsas4Ud1W8MzIH7fDwQfafxP20M63BzU4Lg4iV8xnGoVj9y_cLV4ZPZW0dwr0pXoc6Ebe1VmvrnJPo9mA8uu2OCZ8lJ96XpfGm-Y-8KRVs9PZhuH3g2lvkJS6XNnafv2Ix_veNDqD1LdCLRjvoOYQazptw_ejca-nRRz1D9YFY0j5dRXYVDd7o2CBLyJ5FW6sFk97dpNtnm0wI7FnknBEn4R3BUWkkuPVa-MxbIRKfiNRIQaSEbp2orJaeu1x2CuMyLGiac5EjEQx-BI35Yo7HEHHnCpMql-mC7hImMUo4Sd2CUt-kwpxAM4xy9r6OdTHbDPD0b_MZ7IWZDtq8VJ5DY_lR4gWB9NJeVqvzBcy-kP8
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LSwMxEB5qPehJpRXf7sGL4G53N9lkc5RiabWthVborWSTWRC1Feke6q93sn2I4sFbmBDy2JAvX3a-GYArniqUaFJfZFL5PE-1n6FivmSmjHdGZqcd7vVF-4nfj5NxBW42WhhELJ3PMHDF8l--nZnCPZU1lAv3JtkWbBPuJ9FSrbV2zwlVozMc3DaHhNCCEfOLo2DV4EfmlBI4WnvQW3e59Bd5CYp5FpjPX9EY_zumfah_S_S8wQZ8DqCC0xpcPxrzWli0XktTvaOWtFMXXrbwOm90cJDF5c-izVWHUetu1Gz7q1wI_jNPmU-shCWcoVRIgGsVt7HNOA9tyCMtONESuneizJSwzKQiybWJMaeFTnmKRDHYIVSnsykegceMyXUkTaxyuk3oUEtuBDVzWn0dcX0MNTfLyfsy2sVkNcGTv82XsNMe9bqTbqf_cAq7btWdUi8SZ1CdfxR4TpA9zy7KL_UFlDCUSA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2021+International+Symposium+on+Intelligent+Signal+Processing+and+Communication+Systems+%28ISPACS%29&rft.atitle=Occluded+Face+Recovery+by+Image+Retrieval&rft.au=Tu%2C+Ching-Ting&rft.au=Lee%2C+Kuan-Hsin&rft.date=2021-11-16&rft.pub=IEEE&rft.spage=1&rft.epage=2&rft_id=info:doi/10.1109%2FISPACS51563.2021.9650973&rft.externalDocID=9650973