Presentation | 2009-10-23 The expression and invariants of 3D object's shape using linear model of weak-stationary random fields Sho TAKAHASHI, Jinhui CHAO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper we show a model for 3D images and other high dimensional data distributions using a linear model of weak-stationary random fields. The complete set of invariants of the model under Euclidean motions is obtained. This model is then applicable to object recognition, segmentation and object-based coding of 3D images. Applied to the so-called fibre-bundle models of surfaces, the proposed method reduces to multichannel linear prediction or linear interpolations along fibre-curves. Finally, simulation is shown on object segmentation using the new model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Random fields / invariants / linear interpolation / linear prediction / object recognition / segmentation / object-based coding of 3D images |
Paper # | PRMU2009-84 |
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Committee | PRMU |
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Conference Date | 2009/10/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | The expression and invariants of 3D object's shape using linear model of weak-stationary random fields |
Sub Title (in English) | |
Keyword(1) | Random fields |
Keyword(2) | invariants |
Keyword(3) | linear interpolation |
Keyword(4) | linear prediction |
Keyword(5) | object recognition |
Keyword(6) | segmentation |
Keyword(7) | object-based coding of 3D images |
1st Author's Name | Sho TAKAHASHI |
1st Author's Affiliation | Department Information Engineering, Graduate School of Science and Engineering, Chuo University() |
2nd Author's Name | Jinhui CHAO |
2nd Author's Affiliation | Department of Information Engineering, Faculty of Science and Engineering, Chuo University |
Date | 2009-10-23 |
Paper # | PRMU2009-84 |
Volume (vol) | vol.109 |
Number (no) | 249 |
Page | pp.pp.- |
#Pages | 4 |
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