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

摘要：

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 nonlinear system model, this paper proposes a framework for Bayesian predictive filter, which includes predictive filtering layer and denotation layer, and according to every layers function, analyses the implementation of framework. The optimal simulation count is worked out by the experiment The results show that in the simulation of nonlinear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.

关键词： Bayesian filtering virtual reality augmented reality

作者: Zhang Jian Song Wan-juan

作者单位: Department of Sport engineering and Information Technology Wuhan Institute of Physical Education Wuh Department of Computer Science Hubei University of Education Wuhan, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 899-902

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）