Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Koichi Kise |
| Title | Specific Object Recognition |
| Journal | IEICE Technical Report |
| Presentation number | PRMU2009-104 |
| Pages | pp.79-87 |
| Reviewed or not | Not reviewed |
| Month & Year | November 2009 |
| Abstract | Specific object recognition is a process to recognize instances of objects captured as images. In other words, it indicates the conversion from an appearance of an object to its ID. This functionality allows us to use objects as link anchors of the web, and thus extend the cyber world to the real world. Since we are surrounded by an immense number of object instances, specific object recognition, in its nature, is a challenge to the scalability. In this tutorial, I show recent advances in specific object recognition with the special focus on methods using local features. |
- Following file is available.
- Entry for BibTeX
@InCollection{Kise2009, author = {Koichi Kise}, title = {Specific Object Recognition}, booktitle = {IEICE Technical Report}, year = 2009, month = nov, presenID = {PRMU2009-104}, pages = {79--87} }