Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Masakazu Iwamura, Tomohiro Nakai, and Koichi Kise |
| Title | On Accuracy and Speed of Object Recognition Based on Local Arrangements of Feature Points |
| Journal | IEICE Technical Report |
| Vol. | 106 |
| No. | PRMU-229 |
| Presentation number | PRMU2006-67 |
| Pages | pp.49-56 |
| Reviewed or not | Not reviewed |
| Month & Year | September 2006 |
| Abstract | The geometric hashing is a well-known object recognition technique based on the arrangements of feature points. We have proposed ``locally likely arrangement hashing (LLAH)'' which outperforms the geometric hashing in both retrieval accuracy and processing time. In this report, by comparing both methods, we consider the major factors which bring the improvement. We also consider the relationship between a picture angle and the accuracy of the LLAH because the accuracy of the LLAH depends on the picture angle. |
- Note
PPTファイルを開くとパスワードを尋ねられますので、「読み取り専用」で開いてください。 <br> CVIM155-8. - Following files are available.
- Entry for BibTeX
@InCollection{Iwamura2006, author = {Masakazu Iwamura and Tomohiro Nakai and Koichi Kise}, title = {On Accuracy and Speed of Object Recognition Based on Local Arrangements of Feature Points}, booktitle = {IEICE Technical Report}, year = 2006, month = sep, volume = {106}, number = {PRMU-229}, presenID = {PRMU2006-67}, pages = {49--56} }