Presentation | 2001/2/2 3D shape representation by a neural network and reconstruction of a 3D shape from its multiple views Masayoshi Ohno, Itsuo Kumazawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we present a 3D shape modeling method using the learning capability of multi-layer neural network. The network includes polygon parameters and view parameters as its connection weights. It generates projected images for specied view points. The learning capability is used to update the polygon parameters and view parameters so that the camera parameters are automatically estimated and the computed projection images would approximate observed images for corresponding view points. Color information is effectively introduced so that the correct 3D shape is reconstructed from a small number of views. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 3D reconstruction / Multiple views / Camera calibration / Neural network / Error back propagation |
Paper # | NC2000-98 |
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Committee | NC |
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Conference Date | 2001/2/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | 3D shape representation by a neural network and reconstruction of a 3D shape from its multiple views |
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Keyword(1) | 3D reconstruction |
Keyword(2) | Multiple views |
Keyword(3) | Camera calibration |
Keyword(4) | Neural network |
Keyword(5) | Error back propagation |
1st Author's Name | Masayoshi Ohno |
1st Author's Affiliation | Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology() |
2nd Author's Name | Itsuo Kumazawa |
2nd Author's Affiliation | Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology |
Date | 2001/2/2 |
Paper # | NC2000-98 |
Volume (vol) | vol.100 |
Number (no) | 618 |
Page | pp.pp.- |
#Pages | 8 |
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