在分布式VR系统中推算定位

DEAD RECKONING IN DISTRIBUTED VIRTUAL REALITY SYSTEMS

文中基于行为模型ＳＣＰ提出一种分布式ＶＲ系统的推算定位方法．这种方法使用能够反映较长时间内动态实体对象行为的行为状态进行推算定位，从而有效克服了已有推算定位方法行为误差较大、速度高时网络数据量大的缺点．逐渐逼近法的引入又使得平滑性较好．同已有两种推算定位方法实验比较的结果表明，这种方法具有状态失真度小。

A novel dead reckoning method based on the behavior model SCP is presented. The main feature of this method is to dead reckon using artifacts' behavior status, which characterizes the artifacts' behaviors during a certain time interval. Thanks to the use of a gradual approximation algorithm, this method also offers smooth motion. It effectively alleviates some shortcomings of previous methods, such as large behavior distortion and heavy network transmission when artifacts move fast. Experiments show that this method has the advantage of little behavior distortion and less network transmission.