Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings

Research Article

A 3D Registration Method Based on Indoor Positioning Through Networking

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  • @INPROCEEDINGS{10.1007/978-3-030-00916-8_31,
        author={Haibo Li and Huahu Xu and Honghao Gao and Minjie Bian and Huaikou Miao},
        title={A 3D Registration Method Based on Indoor Positioning Through Networking},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2018},
        month={10},
        keywords={Network Augmented Reality 3D registration Indoor positioning Ultra wide-band},
        doi={10.1007/978-3-030-00916-8_31}
    }
    
  • Haibo Li
    Huahu Xu
    Honghao Gao
    Minjie Bian
    Huaikou Miao
    Year: 2018
    A 3D Registration Method Based on Indoor Positioning Through Networking
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-00916-8_31
Haibo Li,*, Huahu Xu,*, Honghao Gao,*, Minjie Bian, Huaikou Miao,*
    *Contact email: lihaibo_1990@163.com, huahuxu@163.com, gaohonghao@shu.edu.cn, hkmiao@shu.edu.cn

    Abstract

    The Augmented Reality (AR) technique has been widely used in the academic and industrial community, which integrates virtual data into the real-world environments. However, the key implementation to AR is the 3D registration method because it refers to effectively display object in virtual environment. Most of existing approaches are hard to ensure the quality of 3D registration. Thus, this paper proposes a 3D registration method based on indoor positioning, using gyroscopes, direction sensors and network communications. First, obtain user’s line of sight by gyroscopes and direction sensors and send them to server through networking. Second, locate user position by indoor positioning. And then, using these data, calculate the conversion matrix between coordinate systems. Finally, Send data to the client over the network to integrate virtual data into the real-world environments. Our method can avoid the errors which may be impacted by the speed of movement and clearness of objects. Furthermore, experiments are carried out to show the feasibility, accuracy and validity of the proposed method.