| Presentation | 2014/2/6 Advancing Localization Ability of PTAMM at Natural Environment by Improving Feature Extraction Strategy Sakashi MAEDA, Syota IDE, Naoyuki TSURUTA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents the improving method of PTAMM. PTAMM is a software which is an implementation of the method by G Klien and D Muarray. PTAMM can display an argmented reality(AR) object. But there is an instability problem about camera position localization at PTAMM. So, we propose a method which improves localization stability of PTAMM by decreasing feature points using smoothing. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | argmented reality / PTAMM / feature extraction |
| Paper # | CNR2013-42,PRMU2013-134 |
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| Conference Information | |
| Committee | CNR |
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| Conference Date | 2014/2/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Cloud Network Robotics (CNR) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Advancing Localization Ability of PTAMM at Natural Environment by Improving Feature Extraction Strategy |
| Sub Title (in English) | |
| Keyword(1) | argmented reality |
| Keyword(2) | PTAMM |
| Keyword(3) | feature extraction |
| 1st Author's Name | Sakashi MAEDA |
| 1st Author's Affiliation | Fukuoka University() |
| 2nd Author's Name | Syota IDE |
| 2nd Author's Affiliation | Fukuoka University |
| 3rd Author's Name | Naoyuki TSURUTA |
| 3rd Author's Affiliation | Fukuoka University |
| Date | 2014/2/6 |
| Paper # | CNR2013-42,PRMU2013-134 |
| Volume (vol) | vol.113 |
| Number (no) | 432 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |