系统仿真学报 ›› 2019, Vol. 31 ›› Issue (11): 2206-2215.doi: 10.16182/j.issn1004731x.joss.19-FZ0286

• 综述 • 上一篇    下一篇

基于视觉的增强现实三维注册技术综述

侯守明1,2, 韩吉1, 张煜东3, 朱子秋4   

  1. 1. 河南理工大学,河南 焦作 454000;
    2. 鹤壁汽车工程职业学院,河南 鹤壁 458030;
    3. 莱斯特大学,英国 莱斯特郡 LE17RH;
    4. 乔治华盛顿大学,美国 华盛顿特区 20052
  • 收稿日期:2019-05-30 修回日期:2019-07-05 出版日期:2019-11-10 发布日期:2019-12-13
  • 作者简介:侯守明(1972-),男,河南焦作,博士,教授,研究方向为虚拟现实与增强现实。
  • 基金资助:
    国家自然科学基金(61602250),国家重点研发计划(2017YFB1103202),河南省重点研发与推广项目(162102310090, 172102210273, 182102210086, 182102310629); 河南省高等教育教学改革研究与实践项目(2017SJGLX662)

Survey of Vision-Based Augmented Reality 3D Registration Technology

Hou Shouming1,2, Han Ji1, Zhang Yudong3, Zhu Ziqiu4   

  1. 1. Henan Polytechnic University, Jiaozuo 454000, China;
    2. Hebi Automobile Engineering Vocational College, Hebi 458030, China;
    3. University of Leicester, LeicestershireLE17RH, UK;
    4. George Washington University, Washington 20052, USA
  • Received:2019-05-30 Revised:2019-07-05 Online:2019-11-10 Published:2019-12-13

摘要: 三维注册技术是增强现实系统实现的核心技术之一,随着增强现实硬件技术的成熟和应用领域的扩展,基于视觉的三维注册技术得到了更多的关注和发展。介绍了三维注册技术的基本原理和分类方法,重点综述分析了基于人工标识、基于自然特征点以及基于模型的3种视觉三维注册技术原理和研究现状,进而讨论了3种视觉注册技术存在的缺陷及处理方法。展望了基于SLAM技术和深度学习方法的视觉三维注册技术的发展前景。

关键词: 增强现实, 三维注册, 人工标识, 自然特征点, 模型

Abstract: Three-dimensional registration technology is one of the core technologies for augmented reality system implementation. In recent years, with the maturity of augmented reality hardware technology and the expansion of application fields, vision-based three-dimensional registration technology has received more attention and development. This paper introduces the basic principles and classification methods of 3D registration technology, focuses on the analysis of the principles and research status of three kinds of visual three-dimensional registration technology based on artificial identification, natural feature points and model.Furthermore, the defects and treatment methods of three visual registration technologies are discussed. The development prospect of visual 3D registration technology based on SLAM technology and deep learning method is prospected.

Key words: augmented reality, three-dimensional registration, artificial identification, natural feature points, model

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