8-3 特定物体認識のための最近傍密度推定に関する一検討(第8部門コンピュータビジョン,ヒューマンインタフェース,その他)

抄録

In this paper, we propose a new scoring method for local feature-based image retrieval. The proposed score is based on the ratio of the probability density function of an object model to that of background model, which is efficiently calculated via nearest neighbor density estimation. The effectiveness of the proposed method is confirmed in the experiments.