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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/45CTJ95
Repositorysid.inpe.br/sibgrapi/2021/09.06.15.14
Last Update2021:09.06.15.14.47 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2021/09.06.15.14.47
Metadata Last Update2022:06.14.00.00.28 (UTC) administrator
DOI10.1109/SIBGRAPI54419.2021.00040
Citation KeyCoelhoPratSchw:2021:GeApFa
TitleA generative approach for face mask removal using audio and appearance
FormatOn-line
Year2021
Access Date2024, May 06
Number of Files1
Size4381 KiB
2. Context
Author1 Coelho, Luiz Eduardo Lima
2 Prates, Raphael Felipe de Carvalho
3 Schwartz, William Robson
EditorPaiva, Afonso
Menotti, David
Baranoski, Gladimir V. G.
Proença, Hugo Pedro
Junior, Antonio Lopes Apolinario
Papa, João Paulo
Pagliosa, Paulo
dos Santos, Thiago Oliveira
e Sá, Asla Medeiros
da Silveira, Thiago Lopes Trugillo
Brazil, Emilio Vital
Ponti, Moacir A.
Fernandes, Leandro A. F.
Avila, Sandra
e-Mail Addressluizduducoelho@ufmg.br
Conference NameConference on Graphics, Patterns and Images, 34 (SIBGRAPI)
Conference LocationGramado, RS, Brazil (virtual)
Date18-22 Oct. 2021
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2021-09-06 15:14:47 :: luizduducoelho@ufmg.br -> administrator ::
2022-03-02 00:54:15 :: administrator -> menottid@gmail.com :: 2021
2022-03-02 13:23:42 :: menottid@gmail.com -> administrator :: 2021
2022-06-14 00:00:28 :: administrator -> :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscomputer vision
GAN
image inpainting
AbstractSince the COVID-19 pandemic, the use of facial masks in public spaces or during people gatherings has become common. Therefore, journalists, reporters, and interviewees frequently use a mask, following the public health measures to contain the pandemic. However, using a mask while speaking or conducting a presentation can be uncomfortable for viewers. Furthermore, the usage of a mask prevents lip reading, which can harm the speech comprehension of people with hearing impairment. Thus, this work aims at artificially removing masks in videos while recovering the lip movements using the audio and uncovered face features. We use the audio to infer the lip movement in a way it matches with the uttered phrase. From the audio, we estimate landmarks representing the mouth structure. Finally, the landmarks (i.e. uncovered and estimated) are the input in a generative adversarial network (GAN) that reconstructs the full face image with the mouth in a correct shape. We present quantitative results in the form of evaluation metrics and qualitative results in the form of visual examples.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2021 > A generative approach...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A generative approach...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/45CTJ95
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/45CTJ95
Languageen
Target FileSIBGRAPI_65.pdf
User Groupluizduducoelho@ufmg.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/45PQ3RS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2021/11.12.11.46 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsaffiliation 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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