| Presentation | 2003/9/2 Recover of the multiple shapes by segmentation from sequences of scaled orthographic images via autoassociative learning Jun FUJIKI, Takashi TAKAHASHI, Takio KURITA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Segmentation of multiple objects in images is the fundamental problem in computer vison and many methods arc presented. All the methods depends on the separation of the column space of shape matrix into the direct sum of linear subspaces. In this paper, we segment multi objects by using multiple three-layered perceptron. We evaluate the ability of the algorithm through experiment with synthesize data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | structure from motion / scaled orthographic projection / Euclidean reconstruction / multi objects / autoassociative learning |
| Paper # | PRMU2003-110 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2003/9/2(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) | Recover of the multiple shapes by segmentation from sequences of scaled orthographic images via autoassociative learning |
| Sub Title (in English) | |
| Keyword(1) | structure from motion |
| Keyword(2) | scaled orthographic projection |
| Keyword(3) | Euclidean reconstruction |
| Keyword(4) | multi objects |
| Keyword(5) | autoassociative learning |
| 1st Author's Name | Jun FUJIKI |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology() |
| 2nd Author's Name | Takashi TAKAHASHI |
| 2nd Author's Affiliation | Faculty of Science and Technology, Ryukoku University |
| 3rd Author's Name | Takio KURITA |
| 3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology |
| Date | 2003/9/2 |
| Paper # | PRMU2003-110 |
| Volume (vol) | vol.103 |
| Number (no) | 296 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |