Foreground Enlargement of Omnidirectional Images by Spherical Trigonometry

An Shui Yu, Hara Kenji, Kohei Inoue, Kiichi Urahama

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

    1 Citation (Scopus)

    Abstract

    Omnidirectional images with a 360-degree field of view have much smaller foreground regions compared to background regions and thus are difficult to visually recognize, especially when displaying on a small size display. In this paper, we propose a method for enhancing visibility of omnidirectional images by enlarging the user specified foreground regions while compressing the other background regions without the sense of visual incompatibility. The proposed method first transforms the omnidirectional image into a 3D spherical image, and then relocates the spherical nodes, which are assigned pixel values, from their initial position to a preferable position based on point correspondence between spherical polygons. The experiments demonstrate that our approach produces satisfactory omnidirectional images in which the foreground regions are enlarged analogously.

    Original languageEnglish
    Title of host publication2018 24th International Conference on Pattern Recognition, ICPR 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2630-2635
    Number of pages6
    ISBN (Electronic)9781538637883
    DOIs
    Publication statusPublished - Nov 26 2018
    Event24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
    Duration: Aug 20 2018Aug 24 2018

    Publication series

    NameProceedings - International Conference on Pattern Recognition
    Volume2018-August
    ISSN (Print)1051-4651

    Other

    Other24th International Conference on Pattern Recognition, ICPR 2018
    Country/TerritoryChina
    CityBeijing
    Period8/20/188/24/18

    All Science Journal Classification (ASJC) codes

    • Computer Vision and Pattern Recognition

    Fingerprint

    Dive into the research topics of 'Foreground Enlargement of Omnidirectional Images by Spherical Trigonometry'. Together they form a unique fingerprint.

    Cite this