| Presentation | 2005/11/12 FPGA Implementation of Elastic Graph Matching for Face/Object Recognition and Its Performance Evaluation Teppei NAKANO, Takashi MORIE, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The elastic graph matching (EGM) is based on the dynamic link architecture (DLA) which is a conceptual neural network models. In the EGM, the same graph with plural nodes is defined on both input and memorized image planes, and the pixel on each node is used as an evaluation point. The graph is distorted to find the best trade-off between better matching in the feature space and less distortion of the evaluation point graph. Therefore, distortion-invariant recognition can be achieved. We have proposed the digital architecture of the EGM. In this paper, we present an FPGA implementation of the architecture and its performance evaluation results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | face recognition / object recognition / elastic graph matching / digital image processor LSI |
| Paper # | NC2005-67 |
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| Committee | NC |
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| Conference Date | 2005/11/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | FPGA Implementation of Elastic Graph Matching for Face/Object Recognition and Its Performance Evaluation |
| Sub Title (in English) | |
| Keyword(1) | face recognition |
| Keyword(2) | object recognition |
| Keyword(3) | elastic graph matching |
| Keyword(4) | digital image processor LSI |
| 1st Author's Name | Teppei NAKANO |
| 1st Author's Affiliation | Kyushu Institute of Technology() |
| 2nd Author's Name | Takashi MORIE |
| 2nd Author's Affiliation | Kyushu Institute of Technology |
| Date | 2005/11/12 |
| Paper # | NC2005-67 |
| Volume (vol) | vol.105 |
| Number (no) | 419 |
| Page | pp.pp.- |
| #Pages | 6 |
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