Illumination estimation and relighting using an RGB-D camera

Yohei Ogura, Takuya Ikeda, Francois De Sorbier, Hideo Saito

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we propose a relighting system combined with an illumination estimation method using RGBD camera. Relighting techniques can achieve the photometric registration of composite images. They often need illumination environments of the scene which include a target object and the background scene. Some relighting methods obtain the illumination environments beforehand. In this case, they cannot be used under the unknown dynamic illumination environment. Some on-line illumination estimation methods need light probes which can be invade the scene geometry. In our method, the illumination environment is estimated from pixel intensity, normal map and surface reflectance based on inverse rendering in on-line processing. The normal map of the arbitrary object which is used in the illumination estimation part and the relighting part is calculated from the denoised depth image on each frame. Relighting is achieved by calculating the ratio for the estimated Illumination environment of the each scene. Thus our implementation can be used for dynamic illumination or a dynamic object.

本文言語English
ホスト出版物のタイトルVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
編集者Jose Braz, Sebastiano Battiato, Francisco Imai
出版社SciTePress
ページ305-312
ページ数8
ISBN(電子版)9789897580901
DOI
出版ステータスPublished - 2015
イベント10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, Germany
継続期間: 2015 3 112015 3 14

出版物シリーズ

名前VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
2

Other

Other10th International Conference on Computer Vision Theory and Applications, VISAPP 2015
CountryGermany
CityBerlin
Period15/3/1115/3/14

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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