Journal of Computer Applications ›› 2016, Vol. 36 ›› Issue (5): 1450-1454.DOI: 10.11772/j.issn.1001-9081.2016.05.1450

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Design and implementation of online real-time mapping system based on image stereo vision

HOU Yifan1,2, WANG Dong1, XING Shuai1, XU Qing1, GE Zhongxiao1   

  1. 1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou Henan 450052, China;
    2. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou Henan 450001, China
  • Received:2015-11-19 Revised:2016-01-08 Online:2016-05-10 Published:2016-05-09
  • Supported by:
    This work is partially supported by the National Basic Research Program (973 Program) of China (2012CB720000), the National Natural Science Foundation of China (41371436).


侯一凡1,2, 王栋1, 邢帅1, 徐青1, 葛忠孝1   

  1. 1. 信息工程大学 地理空间信息学院, 郑州 450052;
    2. 数学工程与先进计算国家重点实验室, 郑州 450001
  • 通讯作者: 侯一凡
  • 作者简介:侯一凡(1982-),女,河南商丘人,讲师,博士研究生,CCF会员,主要研究方向:摄影测量与遥感、嵌入式近景摄影测量;王栋(1986-),男,江苏兴化人,博士研究生,主要研究方向:摄影测量与遥感、空间目标探测;邢帅(1979-),男,河南信阳人,副教授,博士,主要研究方向:遥感图像处理、数字摄影测量;徐青(1964-),男,浙江磐安人,教授,博士生导师,博士,主要研究方向:数字摄影测量、三维可视化、行星测绘;葛忠孝(1992-),男,安徽阜阳人,硕士研究生,主要研究方向:摄影测量与遥感。
  • 基金资助:

Abstract: In order to satisfy the real-time demand of deep space probe map topography of celestial body, an online mobile real-time mapping prototype system based on image stereo vision was designed and implemented in this paper. Stereo images of space object was obtained in real-time by the stereo camera, a group of observed stereo images was used to reconstruct its surface shape, and then the local reconstructed model was connected to generate the whole surface topography model of the space object. The feasibility, accuracy and speed were proved by experiment. The results show that it can meet the demend of real-time mapping.

Key words: stereo vision, real-time mapping, model connection, image matching, sequence stereo image

摘要: 为了满足深空探测器实时测量天体表面形貌的需求,设计并实现了一套基于立体视觉的在线实时测量原型系统。该系统通过立体相机实时获取空间天体的立体影像,利用每次观测的一组立体影像来重建其局部表面形状;再对每次重建的局部模型进行连接,得到空间天体完整的表面形貌模型。通过仿真实验验证了该系统的可行性,数据处理的速度与精度可以满足对深空目标进行实时测量的需要。

关键词: 立体视觉, 实时测量, 模型连接, 影像匹配, 序列立体影像

CLC Number: