Real-time Estimation of Visually Perceived Location of Virtual Objects : A Study on Estimation Using Gaussian Function

Abstract

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.