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Experiencing real 3D gestural interaction with mobile devices
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2013 (English)In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 34, no 8, 912-921 p.Article in journal (Refereed) Published
Abstract [en]

Number of mobile devices such as smart phones or Tablet PCs has been dramatically increased over the recent years. New mobile devices are equipped with integrated cameras and large displays which make the interaction with the device more efficient. Although most of the previous works on interaction between humans and mobile devices are based on 2D touch-screen displays, camera-based interaction opens a new way to manipulate in 3D space behind the device, in the camera's field of view. In this paper, our gestural interaction heavily relies on particular patterns from local orientation of the image called Rotational Symmetries. This approach is based on finding the most suitable pattern from a large set of rotational symmetries of different orders that ensures a reliable detector for hand gesture. Consequently, gesture detection and tracking can be hired as an efficient tool for 3D manipulation in various applications in computer vision and augmented reality. The final output will be rendered into color anaglyphs for 3D visualization. Depending on the coding technology, different low cost 3D glasses can be used for the viewers. (C) 2013 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
2013. Vol. 34, no 8, 912-921 p.
Keyword [en]
3D mobile interaction, Rotational symmetries, Gesture detection, SIFT, Gesture tracking, stereoscopic visualization
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:umu:diva-71586DOI: 10.1016/j.patrec.2013.02.004ISI: 000318129200010OAI: oai:DiVA.org:umu-71586DiVA: diva2:625857
Available from: 2013-06-05 Created: 2013-06-04 Last updated: 2017-12-06Bibliographically approved

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Yousefi, ShahrouzKondori, Farid AbedanLi, Haibo

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
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Output format
  • html
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