| Presentation | 2014-10-09 Learning Similarities for Rigid and Non-Rigid Object Detection Asako KANEZAKI, Emanuele RODOLA, Daniel CREMERS, Tatsuya HARADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose an optimization method for estimating parameters in graph-theoretical formulations of the matching problem for object detection. Unlike several methods which optimize parameters for graph matching in a way to promote correct correspondences and to restrict wrong ones, our approach aims at improving performance in the more general task of object detection. In our formulation, similarity functions are adjusted so as to increase the overall similarity among a reference model and the observed target, and at the same time reduce the similarity among reference and "non-target" objects. We evaluate the proposed method in two challenging scenarios, demonstrating substantial improvements in both settings. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | keypoint matching / graph matching / optimization / gradient descent method / 3D shape |
| Paper # | PRMU2014-56 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2014/10/2(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) | Learning Similarities for Rigid and Non-Rigid Object Detection |
| Sub Title (in English) | |
| Keyword(1) | keypoint matching |
| Keyword(2) | graph matching |
| Keyword(3) | optimization |
| Keyword(4) | gradient descent method |
| Keyword(5) | 3D shape |
| 1st Author's Name | Asako KANEZAKI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
| 2nd Author's Name | Emanuele RODOLA |
| 2nd Author's Affiliation | Computer Vision Group, TU Munich |
| 3rd Author's Name | Daniel CREMERS |
| 3rd Author's Affiliation | Computer Vision Group, TU Munich |
| 4th Author's Name | Tatsuya HARADA |
| 4th Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| Date | 2014-10-09 |
| Paper # | PRMU2014-56 |
| Volume (vol) | vol.114 |
| Number (no) | 230 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |