Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Masakazu Iwamura, Tomohiro Nakai, and Koichi Kise |
| Title | Analysis on Image Retrieval Method Based on Arrangements of Feature Points —Comparison of Geometric Hashing and LLAH— |
| Journal | Trans. IEICE |
| Vol. | J93-D |
| No. | 4 |
| Pages | pp.494-501 |
| Reviewed or not | Reviewed |
| Month & Year | April 2010 |
| Abstract | For an image described with feature points, how do we search the identical arrangement of feature points? The image may be affected by perspective distortion and the arrangement may be not completely identical due to replacement, insert and deletion of feature points. As methods to solve the problem, Geometric Hashing (GH) and Locally Likely Arrangement Hashing (LLAH) are known. Both of them can search efficiently, however, LLAH outperforms GH in computational cost and memory amount. In this paper, we reveal the reason by comparing two methods. |
| URL | http://search.ieice.org/bin/summary.php?id=j93-d_4_494 |
- Note
PDF file is available at <a href="http://www.ieice.org/jpn/trans_online/">IEICE Transactions online (in Japanese)</a>. - Following files are available.
- Entry for BibTeX
@Article{Iwamura2010, author = {Masakazu Iwamura and Tomohiro Nakai and Koichi Kise}, title = {Analysis on Image Retrieval Method Based on Arrangements of Feature Points \—Comparison of Geometric Hashing and LLAH\—}, journal = {Trans. IEICE}, year = 2010, month = apr, volume = {J93-D}, number = {4}, pages = {494--501}, URL = {http://search.ieice.org/bin/summary.php?id=j93-d_4_494} }