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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/45C6J72
Repositorysid.inpe.br/sibgrapi/2021/09.01.20.24
Last Update2021:09.01.20.24.09 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2021/09.01.20.24.09
Metadata Last Update2022:06.14.00.00.18 (UTC) administrator
DOI10.1109/SIBGRAPI54419.2021.00017
Citation KeyCostaFigTeiLimTei:2021:HaPoEs
TitleAn Investigation of 2D Keypoints Detection on Challenging Scenarios Using Depthwise Separable Convolutions: A Hand Pose Estimation Case Study
FormatOn-line
Year2021
Access Date2024, July 14
Number of Files1
Size3777 KiB
2. Context
Author1 Costa, Willams
2 Figueiredo, Lucas
3 Teixeira, João Marcelo
4 Lima, João Paulo
5 Teichrieb, Veronica
Affiliation1 Voxar Labs, Centro de Informática, Universidade Federal de Pernambuco 
2 Voxar Labs, Centro de Informática, Universidade Federal de Pernambuco 
3 Voxar Labs, Centro de Informática, Universidade Federal de Pernambuco 
4 Departamento de Computação, Universidade Federal Rural de Pernambuco 
5 Voxar Labs, Centro de Informática, Universidade Federal de Pernambuco
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 Addresswlc2@cin.ufpe.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)2021-09-01 20:24:09 :: wlc2@cin.ufpe.br -> administrator ::
2022-03-02 00:54:15 :: administrator -> menottid@gmail.com :: 2021
2022-03-02 13:24:09 :: menottid@gmail.com -> administrator :: 2021
2022-06-14 00:00:18 :: administrator -> :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsreal-time hand pose estimation
human-computer interaction
depthwise separable convolutions
Abstract2D keypoints detection is a computer vision task applicable to several fields such as hand, face, and body tracking, which provides useful information for spatial analytics, gestural interactions, and augmented reality applications. This work investigates the usage of depthwise separable convolutions (an optimized convolution operation) to speed up the inference time on a largely used architecture for 2D keypoints estimation. We evaluate the impacts on the precision and performance of such optimization on a hand pose estimation task. We also extend the evaluation towards simulated challenging scenarios of defocused lens, motion blur, occlusions, and noisy images to understand how these stress situations affect both the original and the optimized architectures. We show that the execution time can be improved on average by 12.8\% with an accuracy compromise of less than 1 pixel (mean EPE). The experiments on challenging scenarios revealed that the model powered by depthwise separable convolutions is most fit for the occlusion cases and noisy environments while suffering more on the motion blur simulated scenarios.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2021 > An Investigation of...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An Investigation of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/45C6J72
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/45C6J72
Languageen
Target FileHand3d_camera-ready.pdf
User Groupwlc2@cin.ufpe.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 12
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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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