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

Takuya Ikeda, Yuji Oyamada, Maki Sugimoto, Hideo Saito

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - International Conference on Pattern Recognition
    Pages165-169
    Number of pages5
    Publication statusPublished - 2012
    Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba
    Duration: 2012 Nov 112012 Nov 15

    Other

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

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    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

    Cite this

    Ikeda, T., Oyamada, Y., Sugimoto, M., & Saito, H. (2012). Illumination estimation from shadow and incomplete object shape captured by an RGB-D camera. In Proceedings - International Conference on Pattern Recognition (pp. 165-169). [6460098]