Detail of Publication
| Text Language | English |
|---|---|
| Authors | Katsufumi Inoue,Koichi Kise |
| Title | A Method of Memory Reduction for Specific Object Recognition with a Bloomier Filter |
| Journal | Proceedings of the 2009 International Conference on Multimedia, Information Technology and its Applications (MITA2009) |
| Pages | pp.27-28 |
| Reviewed or not | Reviewed |
| Month & Year | August 2009 |
| Abstract | Specific object recognition based on nearest neighbor search of feature vectors requires a huge amount of memory to store all feature vectors for distance calculation. To solve this problem, we propose a memory reduction method for specific object recognition with no distance calculation for matching feature vectors. The proposed method is characterized by the use of a Bloomier filter, which is far memory efficient than a hash table, for the storage of feature vectors. The proposed method is evaluated based on experiments of planar and 3D specific object recognition in comparison to a method with a hash table. |
- Following file is available.
- Entry for BibTeX
@InProceedings{Inoue2009, author = {Katsufumi Inoue and Koichi Kise}, title = {A Method of Memory Reduction for Specific Object Recognition with a Bloomier Filter}, booktitle = {Proceedings of the 2009 International Conference on Multimedia, Information Technology and its Applications (MITA2009)}, year = 2009, month = aug, pages = {27--28} }