| Presentation | 2015-03-19 3D Object Recognition Method Using Relationship of Length and Angle in Feature Points Seiichi MAEHARA, Hiroki IMAMURA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recent years, there is SHOT method for extracting feature points in local areas. This method has the advantage of high speed recognition and robustness against occlusion. On the other hand, this method can not recognize the different aspect ratio in object and objects containing a large amount of the same feature. We focus on relationship between feature points to solve these problems. The propose method calculate the feature on the basis of the curvature of the object and extract feature points. After that, proposed method recognizes object using relationship of length and angle in feature points. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 3D object recognition / feature points / relationship |
| Paper # | BioX2014-40,PRMU2014-160 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2015/3/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | 3D Object Recognition Method Using Relationship of Length and Angle in Feature Points |
| Sub Title (in English) | |
| Keyword(1) | 3D object recognition |
| Keyword(2) | feature points |
| Keyword(3) | relationship |
| 1st Author's Name | Seiichi MAEHARA |
| 1st Author's Affiliation | Graduate school of Engineering, Soka University() |
| 2nd Author's Name | Hiroki IMAMURA |
| 2nd Author's Affiliation | Graduate school of Engineering, Soka University |
| Date | 2015-03-19 |
| Paper # | BioX2014-40,PRMU2014-160 |
| Volume (vol) | vol.114 |
| Number (no) | 521 |
| Page | pp.pp.- |
| #Pages | 4 |
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