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SHREC'17 track: 3D hand gesture recognition using a depth and skeletal dataset

  • Q. De Smedt
  • , H. Wannous
  • , J. P. Vandeborre
  • , J. Guerry
  • , B. Le Saux
  • , D. Filliat
  • Université de Lille
  • ONERA Office National d'Etudes et Recherches Aerospatiales
  • ENSTA ParisTech

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

205 Citations (Scopus)

Abstract

Hand gesture recognition is recently becoming one of the most attractive field of research in pattern recognition. The objective of this track is to evaluate the performance of recent recognition approaches using a challenging hand gesture dataset containing 14 gestures, performed by 28 participants executing the same gesture with two different numbers of fingers. Two research groups have participated to this track, the accuracy of their recognition algorithms have been evaluated and compared to three other state-of-the-art approaches.

Original languageEnglish
Title of host publicationEG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval
EditorsMaks Ovsjanikov, Ioannis Pratikakis, Florent Dupont
PublisherEurographics Association
Pages33-38
Number of pages6
ISBN (Electronic)9783038680307
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017 - Lyon, France
Duration: 23 Apr 201724 Apr 2017

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR
Volume2017-April
ISSN (Print)1997-0463
ISSN (Electronic)1997-0471

Conference

Conference10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017
Country/TerritoryFrance
CityLyon
Period23/04/1724/04/17

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