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• 交互设计与虚拟现实 • 上一篇    下一篇

基于结构特征的海量三维模型管理方法

摘要:虚拟现实和3D 可视化技术的发展带来三维模型的海量增长,传统方法采用关键
字匹配方式检索和管理海量模型数据,不能满足语义级别的模型检索和管理要求。提出一种基于
结构特征的海量三维模型管理方法。使用该方法的思路框架,分析海量模型实例,通过聚类与分
类的方法进行概念发现,构建管理特定领域的本体库,基于本体库设计并实现基于结构特征的三
维模型管理系统,最后对系统进行应用和验证。结果表明该方法很好地解决了传统三维模型管理
从单一维度管理模型的低效、冗余和难以重用,实现了三维模型的多维度高效检索和管理。   

  • 出版日期:2015-02-28 发布日期:2015-03-26

Abstract: The development of virtual reality and 3D virtualization technology leads to massive#br# growth of 3D models, and the traditional method focuses on keyword matching to retrieve and#br# manage models, which cannot meet the requirement of semantic retrieval and management of 3D#br# models. To solve this problem, a massive 3D model management approach is proposed based on#br# structural features. According to the core framework of the method, the massive model instances for#br# concept discovery is analyzed by clustering and classification, the ontology is built in any specific#br# field, and a 3D model management system design and implemented based on structural features, the#br# system applied and validated at last. The experiment results show that the proposed method can solve#br# the problems of inefficiency, redundancy, difficult to reuse in traditional method, and achieve the goal#br# of multi-dimension retrieval and management of 3D models.   

  • Online:2015-02-28 Published:2015-03-26