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3D Gesture Analysis Using a Large-Scale Gesture Database
KTH Royal Institute of Technology, SE-100 44, Stockholm.ORCID-id: 0000-0003-2203-5805
KTH Royal Institute of Technology, SE-100 44, Stockholm.
Umea University.
2014 (Engelska)Ingår i: Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I / [ed] George Bebis et al, Springer, 2014, s. 206-217Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

3D gesture analysis is a highly desired feature of future interaction design. Specifically, in augmented environments, intuitive interaction with the physical space seems unavoidable and 3D gestural interaction might be the most effective alternative for the current input facilities. This paper, introduces a novel solution for real-time 3D gesture analysis using an extremely large gesture database. This database includes the images of various articulated hand gestures with the annotated 3D position/orientation parameters of the hand joints. Our unique search algorithm is based on the hierarchical scoring of the low-level edge-orientation features between the query input and database and retrieving the best match. Once the best match is found from the database in real-time, the pre-calculated 3D parameters can instantly be used for gesture-based interaction.

Ort, förlag, år, upplaga, sidor
Springer, 2014. s. 206-217
Serie
Lecture Notes in Computer Science, ISSN 0302-9743
Nationell ämneskategori
Signalbehandling
Forskningsämne
Data- och informationsvetenskap, Medieteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-40973DOI: 10.1007/978-3-319-14249-4_20ISBN: 978-3-319-14248-7 (tryckt)OAI: oai:DiVA.org:lnu-40973DiVA, id: diva2:796233
Konferens
10th International Symposium on Visual Computing
Tillgänglig från: 2015-02-12 Skapad: 2015-03-18 Senast uppdaterad: 2017-04-19Bibliografiskt granskad

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  • apa
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  • de-DE
  • en-GB
  • en-US
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  • sv-SE
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