首页 | 本学科首页   官方微博 | 高级检索  
     检索      

面向手势交互的古建场景快速搭建方法
引用本文:任镤,周明全,樊亚春,钱露,税午阳.面向手势交互的古建场景快速搭建方法[J].北京理工大学学报,2018,38(4):412-416,436.
作者姓名:任镤  周明全  樊亚春  钱露  税午阳
作者单位:北京师范大学信息科学与技术学院,北京100875;文化遗产数字化保护与虚拟现实北京市重点实验室,北京 100875;北京师范大学信息科学与技术学院,北京100875;文化遗产数字化保护与虚拟现实北京市重点实验室,北京 100875;北京师范大学信息科学与技术学院,北京100875;文化遗产数字化保护与虚拟现实北京市重点实验室,北京 100875;北京师范大学信息科学与技术学院,北京100875;文化遗产数字化保护与虚拟现实北京市重点实验室,北京 100875;北京师范大学信息科学与技术学院,北京100875;文化遗产数字化保护与虚拟现实北京市重点实验室,北京 100875
基金项目:国家自然科学基金资助项目(61672103;61402042),中央高校基本科研业务费专项资金资助项目(2013YB67)
摘    要:随着行业快速发展,虚拟现实应用对人机交互方式的要求越来越高,基于非接触手势控制的交互方式日益普及.针对虚拟环境下三维场景构建问题,提出一种面向Leap Motion体感交互设备的古建筑三维场景快速搭建方法.通过Leap Motion获取手部运动数据,实现物理空间与三维空间的实时映射,以及三维模型交互控制与编辑;提出一种基于概率图模型的古建筑构件推荐方法,通过构造贝叶斯网络,实现古建筑各构件之间的概率关系推理;推荐结果实时反馈用户,用户可通过手势选择相应部件,并在三维空间优化模型位置,最终实现古建筑场景的快速搭建.实验证明,相比二维交互方式,本文方法有效利用三维空间信息,并实现模型推荐,因此更加直观、便捷、高效. 

关 键 词:手势交互  Leap  Motion  概率模型  推荐算法  三维场景建模
收稿时间:2016/11/18 0:00:00

A Rapid Ancient Architecture Modeling Method Facing the Gesture Interaction
REN Pu,ZHOU Ming-quan,FAN Ya-chun,QIAN Lu and SHUI Wu-yang.A Rapid Ancient Architecture Modeling Method Facing the Gesture Interaction[J].Journal of Beijing Institute of Technology(Natural Science Edition),2018,38(4):412-416,436.
Authors:REN Pu  ZHOU Ming-quan  FAN Ya-chun  QIAN Lu and SHUI Wu-yang
Institution:1. College of Information Science and Technology, Beijing Normal University, Beijing 100875, China;2. Beijing Key Laboratory of Digital Preservation and Virtual Reality for Cultural Heritage, Beijing 100875, China
Abstract:With the rapid development of VR industry,the non-contact gesture interactive application is increasingly common.In this paper,a modeling method with Leap Motion was proposed for rapid 3D VR scene developing of ancient architecture.Firstly,hand-motion data were captured with Leap Motion to implement the real time mapping,interactive controlling and editing of physical and 3D space.Secondly,a probabilistic model based recommending method was proposed for building components of ancient architecture.By designing a Bayesian network,the relationships between different components were calculated by probabilistic inference.Finally,several functions were implemented for rapid developing of ancient architecture scene,including returning the recommending results to user in real time,choosing corresponding components by gesture and optimizing the positions in the 3D space directly.Experimental results show that the method can take use of the 3D space information more effectively than traditional 2D style,and much more intuitive,convenient and efficient.
Keywords:gesture interaction  Leap Motion  probabilistic model  recommending algorithm  3D scene modeling
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《北京理工大学学报》浏览原始摘要信息
点击此处可从《北京理工大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号