欢迎访问《图学学报》 分享到:

图学学报

• 工程图学 • 上一篇    下一篇

基于MAR 的工程制图助学系统研究

  

  1. 1. 河南理工大学计算机科学与技术学院,河南 焦作 454100;
    2. 鹤壁汽车工程职业学院,河南 鹤壁 458030
  • 出版日期:2018-06-30 发布日期:2018-07-10
  • 基金资助:
    河南省科技攻关计划项目(162102310090,172102210273);河南省教育教学改革项目(2014SJGLX478)

The Assistant Learning System of Engineering Drawing Based on Mobile Augmented Reality

  1. 1. School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo Henan 454100, China;
    2. Hebi Automotive Engineering Professional College, Hebi Henan 458030, China
  • Online:2018-06-30 Published:2018-07-10

摘要: 在工程制图课程中根据二维图纸来构思三维形状,对于初学者来说有相当大的难
度。针对传统基于PC 端工程制图的多媒体辅助教学方式在交互性和易用性上的不足,研究基
于移动增强现实的工程制图助学系统。采用无标记识别技术实现工程图样与三维数字化模型的
自然交互,并在此基础上开发了一个功能齐全的助学APP,使用者可以通过手机摄像头扫描识
别二维工程图,在屏幕上叠加显示三维模型以及其他相关教学资源,用户可实时完成模型缩放、
旋转等操作,并且可对复杂的工程装配体模型进行拆卸和组装。实验结果表明,该系统不仅便
于学生自主学习,而且在一定程度上改善了工程制图课程的教学环境。

关键词: 增强现实, 工程制图, 无标记识别, 助学系统

Abstract: In the course of engineering drawing, it is a great challenge for beginners to conceive
three-dimensional shapes on two-dimensional drawings. This paper analyzes the shortages of
traditional PC-based multimedia-assisted teaching methods in interactivity and convenience, and
proposes an engineering drawing system based on mobile augmented reality. This system adopts the
unmarked recognition technology to realize the natural interaction between engineering drawings and
three-dimensional digital models, on the basis of which, an assistent learning application with
multifunction has been developed. Users can use the cellphone camera to scan and identify the
two-dimensional engineering drawings and overlapping display of three-dimensional models, and
other teaching resources are also supported on the phone. Users can also zoom in or rotate the models,
and disassemble and assemble those complicated assembly models. The result shows that the system
is not only convenient for students’ autonomous learning, but also helpful in improving the teaching
environment of engineering drawing courses.

Key words: augmented reality, engineering drawing, unmarked recognition, assistant learning system