Presentation | 1999/10/21 Recovering 3D shape of Unfolded Book Surface from a Scanner Image using Eigenspace Method Hiroyuki UKIDA, Katsunobu KONISHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we address the problem to recovering 3D shape of an unfolded book surface from the shading information in a scanner image by using eigen space method. In this method, some shading and shape profile data are acquired previously, and preserved in eigen space to reduce the data size. The book surface can be restored from a shading profile by assuming linear interpolation in the shape and shading eigen space locally. To reduce the freedom of profile data, they are normalized to the shift invariant profile by FFT. We demonstrate the shape recovering by model and real book surface, and the geometric and photometric distortion can be removed in the scanner image. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | shape from shading / image scanner / book surface / eigen space method / distortion free copying |
Paper # | PRMU99-91 |
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Committee | PRMU |
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Conference Date | 1999/10/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | Recovering 3D shape of Unfolded Book Surface from a Scanner Image using Eigenspace Method |
Sub Title (in English) | |
Keyword(1) | shape from shading |
Keyword(2) | image scanner |
Keyword(3) | book surface |
Keyword(4) | eigen space method |
Keyword(5) | distortion free copying |
1st Author's Name | Hiroyuki UKIDA |
1st Author's Affiliation | Department of Mechanical Engineering, Tokushima University() |
2nd Author's Name | Katsunobu KONISHI |
2nd Author's Affiliation | Department of Mechanical Engineering, Tokushima University |
Date | 1999/10/21 |
Paper # | PRMU99-91 |
Volume (vol) | vol.99 |
Number (no) | 380 |
Page | pp.pp.- |
#Pages | 8 |
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