一种基于VRML的大规模场景中LOD节点的改进方法

用虚拟现实建模语言(VRML)可完好的模拟出现实世界中的各种场景,由于其场景文件小,结构层次简单,语言直观,被广泛的应用于网络虚拟现实。但其缺点也是明显的,由于VRML提供的LOD(Level of Details)节点不能对内存进行有效的控制,使得其在较大规模的场景显示过程中,经常会出现内存溢出错误进而导致节点的丢失,显示出错。所以本文就针对此问题,利用ProximitySensor(接近传感器)节点,对LOD进行了改进,提供了一个比较有效实用的解决方法,能有效的控制内存的使用,使内存问题不再是VRML大规模场景显示的一个瓶劲。

A method for optimizing LOD node in large-scaled scene based VRML

One can perfectly mould every scene of the real world used by Virtual Reality Modeling Language(VRML).Because of it has a smaller scene file than any other virtual reality system,and it' s layouts are simple,and it's language is visual,it has been used everywhere in networks' application.But,also,it's disadvantage is apparent,because of it's LOD(level of details) node can not use memory efficiently,it is frequently appears out t the mistake that caused by memory exhausted,even lose the node should be shown.So this text,aims at resolving the problem discussed above,makes use of Proximity Sensor node affords a method to optimized the LOD node,it is a useful method to control the usage of computer's memory,and let VRML to display the large-scaled virtual scene smoothly!