敦煌石窟是我国乃至世界佛教艺术的瑰宝，建于西魏的285窟以壁画保存完整，内容丰富而成为敦煌石窟的精品之一。使用虚拟展示技术可以极大地方便人们对敦煌壁画艺术的欣赏，但是对于285窟壁画上丰富的佛教故事无法充分的表达。提出了285窟多媒体集成虚拟展示，对285窟的三维模型进行多媒体嵌入支持扩展，通过在3DS文件中增加多媒体信息结点，将三维模型与多媒体数据库进行有机整合；对热点区域建立基于对象而非基于面片的热点定义，有效地避免了在使用LOD方法中热点随面片简缩而消失的问题；在实时交互中将多媒体播放嵌入到虚拟场景中，增强了多媒体和虚拟环境的融合程度。通过多媒体集成虚拟展示，丰富了285窟的表现形式，展现能力得到了增强，取得了较好的效果。文中对285窟的建模技术以及系统中采用的实时绘制技术和真实感绘制技术做了介绍。

Digitization technologies play more and more important role in relic protection now. This article summarizes the current status of digitization technology application in relic protection. Combined with work achieved in the digitization protection, restoration and development of Dunhuang Cave recent years, the application of digitization technology in the relic protection fields such as information acquire, display, mural copy and intelligent pattern creation of Dunhttang style is introduced. Artificial Intelligence and Muir-media technology was combined with arts; many techniques were developed to resolve the problems and achieved excellent results. At the end of the article, a conclusion about achievement and experience of digitization yelic protection is drawn and some possible future direct'ions are also suggested

Internet技术带来了网络协同合作。采用知识碰撞模型的信息交流和知识共享技术，为不同地域、不同领域的人员相互合作、自主交流提供良好的辅助工具。就知识碰撞的概念、结构、方法进行了分析。并综合知识管理概念和综合集成法，提出了一个基于知识碰撞的虚拟研讨厅模型（KVBCWS）。随后对KVBCWS的基本组成部分、体系结构、功能特点做了解释。最后，就KVBCWS系统的具体应用和发展前景做了论述。

网络技术日趋成熟的今天，虚拟现实技术在网络上的应用领域也越来越广。传统的虚拟现实技术大多为面向单机或宽带网络环境所设计，在internet 上应用时遇到了新的困难。本文针对普通internet 用户的计算机性能、网络带宽等环境因素以及在电子商务、旅游、房产等应用领域内网上虚拟现实应用遇到的传输速度、真实感、交互等问题提出了一系列的技术手段：利用基于图像的虚拟现实模型有效减小模型体积以加快传输速度；从照片建立虚拟现实模型提高真实感；定义图像内物体的形状和位置信息增加交互能力等。上述技术，为现有internet条件下虚拟现实技术的广泛应用找到了一条切实可行的路线。

Image segmentation has been the subject of considerable research activity over the last three decades. This paper proposes an algorithm for color image segmentation by region growing combined with the image enhancement based on the Bezier model. Using Bezier curve model has a direct impact on the quality of the image, and will enhance the boundary differences between the objects and their background making the image segmentation task easier. The segmentation starts from a seed in the form of 3*3 image blocks to avoid the noise point. It grows up the region by adding adjacent pixels that are satisfied with the homogeneous criteria with the seed point, expand point and the growing region respectively. Using the perceptual color clustering, color images is quantized and the similar colors are classified based on NBS color distance. The experimental results illuminate that the algorithm the paper proposed is effective.