| Presentation | 2014-01-23 3D Global Image Registration Using Local Linear Property in Sparse Dictionary Hayato Itoh, Atsushi IMIYA, Tomoya SAKAI, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a 3D global image registration of using a sparse dictionary. For global image registration, template images are registered to a pre-generated image stored in a dictionary. To achieve robustly accurate registration, a large number of transformed images are prepared and stored in the dictionary. To reduce the spatial complexities of this image dictionary, we introduce a method to generate a new template image from a collection of images stored in the image dictionary. This generated template image allows us to achieve accurate image registration, even if the population of image dictionary is relatively small. Furthermore, to reduce the temporal and spatial complexities of matching pairs in registration, we use a random projection to reduce the size of both template and reference images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image registration / volume data / local linearity / random projection / subsace method / nearest neighbour search |
| Paper # | PRMU2013-102,MVE2013-43 |
| Date of Issue |
| Conference Information | |
| Committee | MVE |
|---|---|
| Conference Date | 2014/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Media Experience and Virtual Environment (MVE) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | 3D Global Image Registration Using Local Linear Property in Sparse Dictionary |
| Sub Title (in English) | |
| Keyword(1) | image registration |
| Keyword(2) | volume data |
| Keyword(3) | local linearity |
| Keyword(4) | random projection |
| Keyword(5) | subsace method |
| Keyword(6) | nearest neighbour search |
| 1st Author's Name | Hayato Itoh |
| 1st Author's Affiliation | Graduate School of Advanced Integration Science, Chiba University() |
| 2nd Author's Name | Atsushi IMIYA |
| 2nd Author's Affiliation | Institute of Management and Information Technologies, Chiba University |
| 3rd Author's Name | Tomoya SAKAI |
| 3rd Author's Affiliation | Graduate School of Engineering, Nagasaki University |
| Date | 2014-01-23 |
| Paper # | PRMU2013-102,MVE2013-43 |
| Volume (vol) | vol.113 |
| Number (no) | 403 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |