Presentation | 2011-07-25 A Gabor Wavelet Pyramid-based Elastic Graph Dynamic Link Model Yasuomi D. Sato, Yasutaka Kuriya, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We present introduction about technical improvement of the Elastic Graph Matching (EGM) algorithm, using Gabor wavelet pyramid image. One of the most important points is to investigate how advantages of the improved EGM are brought about, in comparison with existing vision technology. In such investigation, we try to solve typical problems in the EGM as follows : (1) computational costs for Gabor feature extraction and (2) memory sizes of Gabor feature representations. We indicate higher potentials of the Gabor wavelet pyramid based EGM than those of the computer vision technique using another pramid image. One of the potentials is correspodence finding. We also imply that down-sampling images in the Gabor pyramid causes loss of local potentials of energy function in the EGM to effectively detect optimal positions on the image. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Gabor Pyramid / Elastic Graph Matching / Correspondence Problem / Object Recognition |
Paper # | NC2011-23 |
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Committee | NC |
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Conference Date | 2011/7/18(1days) |
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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) | A Gabor Wavelet Pyramid-based Elastic Graph Dynamic Link Model |
Sub Title (in English) | |
Keyword(1) | Gabor Pyramid |
Keyword(2) | Elastic Graph Matching |
Keyword(3) | Correspondence Problem |
Keyword(4) | Object Recognition |
1st Author's Name | Yasuomi D. Sato |
1st Author's Affiliation | Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology:Frankfurt Institute for Advanced Studies (FIAS), Johann Wolfgang Goethe University:RIKEN BSI-TOYOTA Collaboration Center() |
2nd Author's Name | Yasutaka Kuriya |
2nd Author's Affiliation | Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
Date | 2011-07-25 |
Paper # | NC2011-23 |
Volume (vol) | vol.111 |
Number (no) | 157 |
Page | pp.pp.- |
#Pages | 4 |
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