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3D Interaction Through a Real-Time Gesture Search Engine
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID.
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-3779-5647
2015 (English)In: COMPUTER VISION - ACCV 2014 WORKSHOPS, PT II, [Yousefi, Shahrouz; Li, Haibo] KTH Royal Inst Technol, S-10044 Stockholm, Sweden., 2015, 199-213 p.Conference paper, Published paper (Refereed)
Abstract [en]

3D gesture recognition and tracking are highly desired features of interaction design in future mobile and smart environments. Specifically, in virtual/augmented reality applications, intuitive interaction with the physical space seems unavoidable and 3D gestural interaction might be the most effective alternative for the current input facilities such as touchscreens. In this paper, we introduce a novel solution for real-time 3D gesture-based interaction by finding the best match from 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 matching algorithm is based on the hierarchical scoring of the low-level edge-orientation features between the query frames and database and retrieving the best match. Once the best match is found from the database in each moment, the pre-recorded 3D motion parameters can instantly be used for natural interaction. The proposed bare-hand interaction technology performs in real-time with high accuracy using an ordinary camera.

Place, publisher, year, edition, pages
[Yousefi, Shahrouz; Li, Haibo] KTH Royal Inst Technol, S-10044 Stockholm, Sweden., 2015. 199-213 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9009
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-176385DOI: 10.1007/978-3-319-16631-5_15ISI: 000362451400015Scopus ID: 2-s2.0-84942546553ISBN: 978-3-319-16631-5; 978-3-319-16630-8 (print)OAI: oai:DiVA.org:kth-176385DiVA: diva2:867474
Conference
12th Asian Conference on Computer Vision (ACCV), NOV 01-05, 2014, Singapore, SINGAPORE
Note

QC 20151105

Available from: 2015-11-05 Created: 2015-11-03 Last updated: 2015-11-05Bibliographically approved

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Li, Haibo

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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