Foreground Enlargement of Omnidirectional Images by Spherical Trigonometry

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

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    1 被引用数 (Scopus)

    抄録

    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.

    本文言語英語
    ホスト出版物のタイトル2018 24th International Conference on Pattern Recognition, ICPR 2018
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ2630-2635
    ページ数6
    ISBN(電子版)9781538637883
    DOI
    出版ステータス出版済み - 11月 26 2018
    イベント24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, 中国
    継続期間: 8月 20 20188月 24 2018

    出版物シリーズ

    名前Proceedings - International Conference on Pattern Recognition
    2018-August
    ISSN(印刷版)1051-4651

    その他

    その他24th International Conference on Pattern Recognition, ICPR 2018
    国/地域中国
    CityBeijing
    Period8/20/188/24/18

    !!!All Science Journal Classification (ASJC) codes

    • コンピュータ ビジョンおよびパターン認識

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