Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Katsufumi Inoue, Koichi Kise |
| Title | Memory Reduction with Bloomier Filters for Specific Object Recognition |
| Journal | IEICE Technical Report |
| Presentation number | PRMU2009-56 |
| Pages | pp.101-106 |
| Reviewed or not | Not reviewed |
| Month & Year | June 2009 |
| Abstract | Specific object recognition based on nearest neighbor search of feature vectors required a huge amount of memory to store all feature vectors for distance calculation. Tosolve this problem, we propose a memory reduction method for specific object recognition with a strategy of skipping the distance calculation of feature vectors. The proposed method is characterized by the use of Bloomier filters, which are far memory efficient than hash tables, 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
@InCollection{Inoue2009, author = {Katsufumi Inoue and Koichi Kise}, title = {Memory Reduction with Bloomier Filters for Specific Object Recognition}, booktitle = {IEICE Technical Report}, year = 2009, month = jun, presenID = {PRMU2009-56}, pages = {101--106} }