• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 图形与图像 • 上一篇    下一篇

AR技术在科技馆古代农具展示中的研究及实现

冯晓琪,刘念,郭霄宇,郑世珏   

  1. (华中师范大学计算机学院,湖北 武汉 430079)
  • 收稿日期:2019-07-11 修回日期:2019-09-25 出版日期:2019-12-25 发布日期:2019-12-25
  • 基金资助:

    国家社会科学基金(17BYY111)

Research and realization of AR technology in ancient
agricultural tools display in science and technology museum

FENG Xiao-qi,LIU Nian,GUO Xiao-yu,ZHENG Shi-jue   

  1. (School of Computer Science,Central China Normal University,Wuhan 430079,China)
  • Received:2019-07-11 Revised:2019-09-25 Online:2019-12-25 Published:2019-12-25

摘要:

增强现实技术将虚拟与现实有机结合,突破了虚拟世界和现实世界的界限。针对增强现实技术的特点,研究了一套实现增强现实系统的框架。首先对场景进行采集,使用3D Max对模型进行设计并建模;针对图像识别的问题,通过对比SIFT算法、SURF算法、ORB算法以及高通Vuforia的特征识别匹配的结果,选择高通Vuforia处理图像;3D渲染则使用专业渲染引擎Unity3D实现增强现实中交互软件的开发。基于此框架设计并实现一个以科技馆古代农具展示为主题的系统,能够带给参观者AR交互阅读的全新体验;可以再现我国古代农具在传统农业文化传承的重要史料,从而实现对古代农具文物的数字化保护和传播。

关键词: AR技术, 图像识别匹配, 三维注册, 虚拟合成, 古代农具

Abstract:

Augmented reality technology combines virtuality with reality organically, breaking the boundary between virtual world and real world. According to the characteristics of augmented reality, a framework of implementing augmented reality system is studied. Firstly, the scene is collected, and 3D Max is used to design and model the model. Then, aiming at the problem of image recognition, the high-pass Vuforia image processing is selected by comparing the features recognition and matching results of SIFT algorithm, SURF algorithm, ORB algorithm and high-pass Vuforia. For 3D rendering, Unity3D, a professional rendering engine, is used to develop interactive software in augmented reality. Based on this framework, we design and implement a system themed with ancient agricultural tools display in science and technology museum, which can bring visitors a new experience of AR interactive reading. It can reproduce the important historical materials of the inheritance of ancient agricultural tools in the traditional agricultural culture of China, so as to realize the digital protection and dissemination of ancient agricultural tools.
 

Key words: AR technology, image recognition matching, 3D registration, virtual synthetic, ancient farming tools