Presentation 2000/10/13
A Parallel Computable Reconstruction Method of Reflection Property under Unknown Lighting Condition
Masaaki IIYAMA, Hirohumi AOKI, Yoshinari KAMEDA, Michihiko MINOH,
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Abstract(in English) In this paper, we present a new method to reconstruct the reflection property in real space under unknown lighting condition. In our approach, the calculation of reconstruction is done independently at each voxel. Reconstructed reflection property represents both diffuse reflection and specular reflection at each voxel. Based on Torrance-Sparrow reflection model, we propose an improved reflection model suitable to the voxel-independent recon-struction. Our method consists of 3 steps. First we extract surface voxels. Then the surface normal at each surface voxel is calculated. Finally, we estimate reflection property of it. Experimental results show the effectiveness of our method.
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Keyword(in English) reconstruction of reflection property / specular reflection / parallel compute
Paper # PRMU2000-98
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Conference Information
Committee PRMU
Conference Date 2000/10/13(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Parallel Computable Reconstruction Method of Reflection Property under Unknown Lighting Condition
Sub Title (in English)
Keyword(1) reconstruction of reflection property
Keyword(2) specular reflection
Keyword(3) parallel compute
1st Author's Name Masaaki IIYAMA
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Hirohumi AOKI
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Yoshinari KAMEDA
3rd Author's Affiliation Center for Information and Multimedia Studies, Kyoto University
4th Author's Name Michihiko MINOH
4th Author's Affiliation Center for Information and Multimedia Studies, Kyoto University
Date 2000/10/13
Paper # PRMU2000-98
Volume (vol) vol.100
Number (no) 360
Page pp.pp.-
#Pages 6
Date of Issue