Presentation 2008-09-05
Illumination Distribution from Shadow Using a Single Real Image for Outdoor Mixed Reality
Raita Kudo, Tetsuya Kakuta, Rei Kawakami, Takeshi Oishi, Katsushi Ikeuchi,
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Abstract(in English) In this paper, we propose a method of estimating illumination distribution from shadow in Mixed Reality (MR) using a single real image. We label four regions in real image for shadow extraction with log F value calculated from the pixel value and the spectral sensitivity characteristic of the camera. Then we estimate shadow image by thesefour regions, using Bayesian optimization which allows for the optimal extraction of smooth shadow. Finally we estimate the illumination distribution of a real scene from shadow image. we represent whole distribution as aset of point light sources, and solve linear equations which leads relations between each pixel value of shadow image and a point light sources. the estimated illumination distribution of an outdoor Mixed Reality is teriable in a real scene.
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Paper # PRMU2008-57,HIP2008-57
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Committee PRMU
Conference Date 2008/8/29(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Illumination Distribution from Shadow Using a Single Real Image for Outdoor Mixed Reality
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1st Author's Name Raita Kudo
1st Author's Affiliation Interfaculty Initiative in Information Studies, The University of Tokyo()
2nd Author's Name Tetsuya Kakuta
2nd Author's Affiliation Interfaculty Initiative in Information Studies, The University of Tokyo
3rd Author's Name Rei Kawakami
3rd Author's Affiliation Institute of Industrial Science, The University of Tokyo
4th Author's Name Takeshi Oishi
4th Author's Affiliation Interfaculty Initiative in Information Studies, The University of Tokyo
5th Author's Name Katsushi Ikeuchi
5th Author's Affiliation Interfaculty Initiative in Information Studies, The University of Tokyo
Date 2008-09-05
Paper # PRMU2008-57,HIP2008-57
Volume (vol) vol.108
Number (no) 198
Page pp.pp.-
#Pages 8
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