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abstract

Fast and Accurate 3D Selection using Proxy with Spatial Relationship for Immersive Virtual Environments

Published: 15 October 2016 Publication History

Abstract

In this paper, we propose a fast and accurate 3D selection method using visualization of proxies with spatial relationships. The proposed 3D selection method reduced selection errors and selection time comparing to conventional ray-casting method.

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References

[1]
Argelaguet, F. and Andujar, C. 2013. A survey of 3D object selection techniques for virtual environments. Computers & Graphics, 37 (3).
[2]
A. Steed and C. Parker. 3D selection strategies for head tracked and non-head tracked operation of spatially immersive displays. In 8th International Immersive Projection Technology Workshop, pages 13--14, 2004.
[3]
Kopper R. Bacim F. and Bowman D.A. Rapid and Accurate 3D Selection by Progressive Refinement, IEEE 3DUI 2011, 67--74.

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  1. Fast and Accurate 3D Selection using Proxy with Spatial Relationship for Immersive Virtual Environments

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      cover image ACM Conferences
      SUI '16: Proceedings of the 2016 Symposium on Spatial User Interaction
      October 2016
      236 pages
      ISBN:9781450340687
      DOI:10.1145/2983310
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 15 October 2016

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      Author Tags

      1. 3d object selection
      2. hmd
      3. spatial relationship
      4. sphere-casting

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      Funding Sources

      • National Research Foundation of Korea

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      SUI '16
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      SUI '16: Symposium on Spatial User Interaction
      October 15 - 16, 2016
      Tokyo, Japan

      Acceptance Rates

      SUI '16 Paper Acceptance Rate 20 of 77 submissions, 26%;
      Overall Acceptance Rate 86 of 279 submissions, 31%

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