A Method of Memory Reduction for Specific Object Recognition with a Bloomier Filter

言語英語
種類国際会議等の予稿
著者Katsufumi Inoue,Koichi Kise
論文名A Method of Memory Reduction for Specific Object Recognition with a Bloomier Filter
論文誌名Proceedings of the 2009 International Conference on Multimedia, Information Technology and its Applications (MITA2009)
ページpp.27-28
査読の有無有
年月2009年8月
分野物体認識, パターン認識
キーInoue2009_MITA (id=1102)

要約

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.

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