Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Masakazu Iwamura, Tomohiro Nakai, and Koichi Kise |
| Title | An Analysis of Image Retrieval Methods Based on Arrangements of Feature Points—Comparison Between Geometric Hashing and LLAH— |
| Journal | Proceedings of MIRU 2007 |
| Presentation number | IS-4-10 |
| Pages | pp.1200-1205 |
| Reviewed or not | Not reviewed |
| Month & Year | July 2007 |
| Abstract | The geometric hashing (GH) is a well-known object recognition technique based on arrangement of feature points. Recently, we have proposed ``locally likely arrangement hashing (LLAH)'' which outperforms GH in both processing time and required amount of memory with little loss of retrieval accuracy. One of two objectives of the current paper is to reveal where the outstanding performance of LLAH comes from. The other objective is to discuss the robustness of LLAH against change of the picture angle which can spoil the performance. |
- Following file is available.
- Entry for BibTeX
@InCollection{Iwamura2007, author = {Masakazu Iwamura and Tomohiro Nakai and Koichi Kise}, title = {An Analysis of Image Retrieval Methods Based on Arrangements of Feature Points\—Comparison Between Geometric Hashing and LLAH\—}, booktitle = {Proceedings of MIRU 2007}, year = 2007, month = jul, presenID = {IS-4-10}, pages = {1200--1205} }