Depth image interpolation with the propagation of color geodesic neighborhoods

Kiyoshi Matsuo, Yoshimitsu Aoki

    研究成果: Conference contribution

    抄録

    This paper describes a new accurate interpolation method of a low-resolution depth image using a high-resolution color image for the structural analysis of 3d data. Our method adopts the strategy to detect and omit regions where it is difficult to estimate depth value accurately. In order to achieve this, Color geodesic neighborhood is used as the local smooth surface, and depth data is interpolated with checking smoothness of connections between them. Pixels where they can not be smoothly connected are omitted automatically as indeterminable pixels in this process. Experiments with images of the Middlebury stereo datasets demonstrate that in the quantitative sense our method can interpolate depth images more accurately than other interpolation methods.

    本文言語English
    ホスト出版物のタイトル2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013
    DOI
    出版ステータスPublished - 2013 9月 9
    イベント2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013 - Dhaka, Bangladesh
    継続期間: 2013 5月 172013 5月 18

    出版物シリーズ

    名前2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013

    Other

    Other2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013
    国/地域Bangladesh
    CityDhaka
    Period13/5/1713/5/18

    ASJC Scopus subject areas

    • コンピュータ ビジョンおよびパターン認識
    • 電子工学および電気工学

    フィンガープリント

    「Depth image interpolation with the propagation of color geodesic neighborhoods」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル