Depth interpolation via smooth surface segmentation using tangent planes based on the superpixels of a color image

Kiyoshi Matsuo, Yoshimitsu Aoki

    研究成果: Conference contribution

    10 被引用数 (Scopus)

    抄録

    This paper describes a method for accurately interpolating a low-resolution depth image using a high-resolution color image. In our method, first, tangent planes on each super pixel are estimated from the sparse depth information and dense color information. Then, the neighboring super pixels that have smooth-connectable tangent planes are connected, and the image segmentation to smooth surfaces are achieved. Finally, the low-resolution depth image is interpolated using this smooth surface segmentation. In experiments with images from the Middlebury stereo datasets, our method interpolates each image at a high rate, and achieves the lowest error when compared to existing techniques.

    本文言語English
    ホスト出版物のタイトルProceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ29-36
    ページ数8
    ISBN(印刷版)9781479930227
    DOI
    出版ステータスPublished - 2013 1月 1
    イベント2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 - Sydney, NSW, Australia
    継続期間: 2013 12月 12013 12月 8

    出版物シリーズ

    名前Proceedings of the IEEE International Conference on Computer Vision

    Other

    Other2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013
    国/地域Australia
    CitySydney, NSW
    Period13/12/113/12/8

    ASJC Scopus subject areas

    • ソフトウェア
    • コンピュータ ビジョンおよびパターン認識

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