Illumination estimation from object shadow and incomplete object shape information captured by an RGB-D camera

Takuya Ikeda, Yuji Oyamada, Maki Sugimoto, Hideo Saito

    Research output: Contribution to journalArticle

    Abstract

    Optical consistency between the real world and virtual objects is an important issue in augmented reality (AR). We propose a method to estimate illumination from an object shadow and incomplete object shape information captured by an RGB-D camera. The environmental illumination can be estimated without any prior knowledge of the object shape. The radiance of each light source is computed by solving linear equations derived from color and depth images. Since prior knowledge of the object shape is not necessary, we can flexibly use/combine any objects. Thus, we can use/combine multiple objects in the target scene to increase the accuracy and flexibility. Our experimental results show the characteristics of our proposed method.

    Original languageEnglish
    JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
    Volume67
    Issue number4
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Lighting
    Cameras
    Augmented reality
    Linear equations
    Light sources
    Color

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Media Technology
    • Computer Science Applications

    Cite this

    Illumination estimation from object shadow and incomplete object shape information captured by an RGB-D camera. / Ikeda, Takuya; Oyamada, Yuji; Sugimoto, Maki; Saito, Hideo.

    In: Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, Vol. 67, No. 4, 2013.

    Research output: Contribution to journalArticle

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