Depth interpolation via segmentation defined from smooth junctions of color geodesic neighborhoods

Kiyoshi Matsuo, Yoshimitsu Aoki

    Research output: Contribution to conferencePaper

    Abstract

    This paper describes an iterative procedure of accurate depth interpolation for a low-resolution depth image using a high-resolution color image. In our procedure, depth interpolation is gradually achieved with generating smooth junctions of similar color regions. These junctions give the segmentation of the interpolated region and we use this information to interpolate depth value on each segment, and to promote the generation of junctions additionally. In experiments with images of the Middlebury stereo datasets, our procedure interpolates each image at a high rate, and achieves the low error compared with previous methods.

    Original languageEnglish
    Pages2116-2121
    Number of pages6
    Publication statusPublished - 2013 Jan 1
    Event2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan
    Duration: 2013 Sep 142013 Sep 17

    Other

    Other2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
    CountryJapan
    CityNagoya
    Period13/9/1413/9/17

    Keywords

    • Depth image interpolation
    • Geodesic distance

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science Applications
    • Electrical and Electronic Engineering

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  • Cite this

    Matsuo, K., & Aoki, Y. (2013). Depth interpolation via segmentation defined from smooth junctions of color geodesic neighborhoods. 2116-2121. Paper presented at 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, Japan.