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

Takuya Ikeda*, Yuji Oyamada, Maki Sugimoto, Hideo Saito

*この研究の対応する著者

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    Optical consistency between the real world and the virtual objects is one of the important issues in Augmented Reality (AR). This paper proposes a method to estimate illuminations 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 a priori knowledge of 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. Experimental results show the characteristics of our proposed method.

    本文言語English
    ホスト出版物のタイトルProceedings - International Conference on Pattern Recognition
    ページ165-169
    ページ数5
    出版ステータスPublished - 2012
    イベント21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba
    継続期間: 2012 11 112012 11 15

    Other

    Other21st International Conference on Pattern Recognition, ICPR 2012
    CityTsukuba
    Period12/11/1112/11/15

    ASJC Scopus subject areas

    • コンピュータ ビジョンおよびパターン認識

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