A novel relative camera motion estimation algorithm with applications to visual odometry

  • Yue Jiang
  • , Mun Cheon Kang
  • , Ming Fan
  • , Sung Ho Chae
  • , Sung Jea Ko

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    In this paper, we propose a novel method to estimate the relative camera motions of three consecutive images. Given a set of point correspondences in three views, the proposed method determines the fundamental matrix representing the geometrical relationship between the first two views by using the eight-point algorithm. Then, by minimizing the proposed cost function with the fundamental matrix, the relative camera motions over three views are precisely estimated. The experimental results show that the proposed method outperforms the conventional two-view and three-view geometry-based method in terms of the accuracy.

    Original languageEnglish
    Title of host publicationProceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages215-216
    Number of pages2
    ISBN (Electronic)9781538668573
    DOIs
    Publication statusPublished - 2018 Jul 2
    Event20th IEEE International Symposium on Multimedia, ISM 2018 - Taichung, Taiwan, Province of China
    Duration: 2018 Dec 102018 Dec 12

    Publication series

    NameProceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018

    Conference

    Conference20th IEEE International Symposium on Multimedia, ISM 2018
    Country/TerritoryTaiwan, Province of China
    CityTaichung
    Period18/12/1018/12/12

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT This work was supported by Korea Evaluation Institute of Industrial Technology (KEIT) grant funded by the Korea government (MOTIE) (No.10080639, Development of HD resolution and mm level precision 3D gesture recognition camera for attention and convenience maximization).

    Publisher Copyright:
    © 2018 IEEE.

    Keywords

    • Eight-point algorithm
    • Trifocal tensor
    • Visual odometry

    ASJC Scopus subject areas

    • Signal Processing
    • Media Technology

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