Presentation 2009-10-30
Real-time Estimation of Visually Perceived Location of Virtual Objects : A Study on Estimation Using Gaussian Function
Minoru YOKONO, Masahiro SUZUKI, Kazutake UEHIRA,
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Abstract(in English) The authors proposed the new technique for the estimation of the visually perceived location of the virtual objects using an observer's action. In this study, visually perceived depth of the virtual object for which the observer reaches out is estimated by fitting the depth of the observer's hand as a function of movement time into the gaussian function. The results indicate that accuracy and precision of the estimation is very high, and support the authors' proposal.
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Keyword(in English) Mixed/augmented Reality / Virtual Objects / Depth Perception / Haptic Stimuli
Paper # HIP2009-82
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Committee HIP
Conference Date 2009/10/22(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Real-time Estimation of Visually Perceived Location of Virtual Objects : A Study on Estimation Using Gaussian Function
Sub Title (in English)
Keyword(1) Mixed/augmented Reality
Keyword(2) Virtual Objects
Keyword(3) Depth Perception
Keyword(4) Haptic Stimuli
1st Author's Name Minoru YOKONO
1st Author's Affiliation Human Media Research Center, Kanagawa Institute of Technology()
2nd Author's Name Masahiro SUZUKI
2nd Author's Affiliation Human Media Research Center, Kanagawa Institute of Technology
3rd Author's Name Kazutake UEHIRA
3rd Author's Affiliation Human Media Research Center, Kanagawa Institute of Technology
Date 2009-10-30
Paper # HIP2009-82
Volume (vol) vol.109
Number (no) 261
Page pp.pp.-
#Pages 4
Date of Issue