Presentation | 1996/5/17 Numerical 3-D Shape Inference from Shading with Gradient of Image Brightness Tadayoshi SHIOYAMA, Wen Biao JIANG, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In traditional 3-D shape inference from shading, surface norm distribution is estimated by using a traditional constraint imposed on surface norm and image brightness. In this paper, we derive another new type of constraint imposed on surface norm and gradient of image brightness, and propose 3-D shape inference algorithm by using both the traditional constraint and the new type of constraint. We prove that the rate of convergence of the algorithm becomes faster by using the new type of constraint in additon to the traditional constraint. The usefulness of the new type of constraint is shown by numerical experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 3-Dimensional Shape / Brightness / Convergence / Iterative Algorithm / Gradient of Brightness |
Paper # | PRMU96-24 |
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Committee | PRMU |
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Conference Date | 1996/5/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Numerical 3-D Shape Inference from Shading with Gradient of Image Brightness |
Sub Title (in English) | |
Keyword(1) | 3-Dimensional Shape |
Keyword(2) | Brightness |
Keyword(3) | Convergence |
Keyword(4) | Iterative Algorithm |
Keyword(5) | Gradient of Brightness |
1st Author's Name | Tadayoshi SHIOYAMA |
1st Author's Affiliation | Kyoto Institute of Technology() |
2nd Author's Name | Wen Biao JIANG |
2nd Author's Affiliation | Kyoto Institute of Technology |
Date | 1996/5/17 |
Paper # | PRMU96-24 |
Volume (vol) | vol.96 |
Number (no) | 41 |
Page | pp.pp.- |
#Pages | 8 |
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