Depth image interpolation with the propagation of color geodesic neighborhoods

Kiyoshi Matsuo, Yoshimitsu Aoki

    研究成果: Conference contribution

    抜粋

    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.

    元の言語English
    ホスト出版物のタイトル2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013
    DOI
    出版物ステータスPublished - 2013 9 9
    イベント2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013 - Dhaka, Bangladesh
    継続期間: 2013 5 172013 5 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
    Bangladesh
    Dhaka
    期間13/5/1713/5/18

      フィンガープリント

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering

    これを引用

    Matsuo, K., & Aoki, Y. (2013). Depth image interpolation with the propagation of color geodesic neighborhoods. : 2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013 [6572627] (2013 International Conference on Informatics, Electronics and Vision, ICIEV 2013). https://doi.org/10.1109/ICIEV.2013.6572627