Presentation | 2013-03-15 Recognition of Blocks Worlds from Monocular Single Images Considering Spatial Relationship between Blocks Daichi TANII, Hotaka TAKIZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we propose a method of recognizing block scenes from monocular images. Block-like objects are represented by 3-D object models. At each location in a scene, several promising models are generated. The fidelity of the object models to edges extracted from the images and the interrelations between the adjoining object models are evaluated by use of the Markov Random Field (MRF)model that is composed of the object models. The most likely state of the MRF model is obtained by minimizing its posteriori energy function with a primal-dual interior point method. The proposed method is applied to actual scenes including several block-like objects. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Scene understanding / Markov Random Field model / Block models / Interrelations / Edge images |
Paper # | PRMU2012-213 |
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Committee | PRMU |
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Conference Date | 2013/3/7(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 | 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) | Recognition of Blocks Worlds from Monocular Single Images Considering Spatial Relationship between Blocks |
Sub Title (in English) | |
Keyword(1) | Scene understanding |
Keyword(2) | Markov Random Field model |
Keyword(3) | Block models |
Keyword(4) | Interrelations |
Keyword(5) | Edge images |
1st Author's Name | Daichi TANII |
1st Author's Affiliation | Graduate School of Systems and Information Engineering() |
2nd Author's Name | Hotaka TAKIZAWA |
2nd Author's Affiliation | Faculty of Engineering |
Date | 2013-03-15 |
Paper # | PRMU2012-213 |
Volume (vol) | vol.112 |
Number (no) | 495 |
Page | pp.pp.- |
#Pages | 6 |
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