Depth interpolation using tangent planes on superpixels of a color image

Kiyoshi Matsuo, Yoshimitsu Aoki

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)


    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 superpixel are estimated from sparse depth information and dense color information. Then, the neighboring superpixels that have smooth-connectable tangent planes are connected, and image segmentation to smooth surfaces is achieved. Finally, the low-resolution depth image is interpolated by using this smooth surface segmentation. In experiments with images from the Middlebury stereo data sets, our method interpolates each image at a high rate, and achieves the lowest error when compared to existing techniques.

    Original languageEnglish
    Pages (from-to)17-29
    Number of pages13
    JournalElectronics and Communications in Japan
    Issue number12
    Publication statusPublished - 2015 Dec 1


    • depth image interpolation
    • image segmentation
    • superpixel

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Networks and Communications
    • Physics and Astronomy(all)
    • Signal Processing
    • Applied Mathematics


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