The Framework Base on Bayesian Predictive Filtering Algorithm in VR/AR

Jian Zhang; Wan Juan Song

doi:10.4028/www.scientific.net/AMM.568-570.1122

Paper Titles

Pole Placement for Time-Delay Systems with Low-Order Controllers a Parameter Space Approach
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Research of the Inverted Pendulum System Based on the Linear Quadratic Optimal Control
p.1104

Robust Adaptive Control of Nonlinear Systems with Uncertainties
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The Environment Monitoring System of Refuge Cabin and its Simulation Based on Fuzzy-PID Algorithm
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The Framework Base on Bayesian Predictive Filtering Algorithm in VR/AR
p.1122

The Overall Training Evaluation of Command and Control System
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Using DCS to Realize Ball Mill Fuzzy Control System
p.1131

Virtual Reference Feedback Corrective Control Based on the Closed-Loop
p.1135

Grinding Concentration Cascade Control Method of Ball Mill Based on the Fuzzy Control Theory
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570The Framework Base on Bayesian Predictive...

The Framework Base on Bayesian Predictive Filtering Algorithm in VR/AR

Abstract:

Tracking system is a vital aspect of Virtual Reality and Augmented Reality, the efficiency of tracking system is determined by the implementation of framework and the predictive filtering algorithm. As a result of the better applicability of Bayesian predictive filtering algorithm in simulation of non-linear system model, this paper proposes a framework for Bayesian predictive filter, which includes predictive filtering layer and denotation layer, and according to every layer’s function, analyses the implementation of framework. The optimal simulation count is worked out by the experiment. The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.

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Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

1122-1125

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.1122

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Online since:

June 2014

Authors:

Jian Zhang*, Wan Juan Song

Keywords:

Augmented Reality, Bayesian, Filtering, Virtual Reality (VR)

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* - Corresponding Author

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