Content-based image retrieval (CBIR) is to retrieve images from a database that are similar
to a query image. In CBIR, to compute the similarity between two images, feature vectors are …

Scale Invariance Feature Transform (SIFT) is quite suitable for image matching because of
its invariance to image scaling, rotation and slight changes in illumination or viewpoint …

Numerous fields require large-scale pattern matching to achieve a variety of computational
goals. Herein, we present novel graphics processing unit (GPU) extensions that facilitate …

We propose an efficient content-based image retrieval (CBIR) method for position estimation
of mobile devices. The idea is to use videos of first-person vision associated with …

We propose an efficient position estimation method based on GPUaccelerated content-
based image retrieval (CBIR). The idea is to use videos of first-person vision associated with …

Keypoint matching between images is an important technique for computer vision
applications such as image retrieval. Although binary feature descriptors such as BRIEF …

Ideal fuzzy rules systems are supposed to be flexible, complete, consistent, compact and
comprehensible (FC4). This paper describes the use of the interactive genetic algorithms …

論文抄録 画像集合の中からクエリ画像と視覚的に類似した画像を見つけ出す処理を,
類似画像検索と呼ぶ. **年の類似画像検索は画像から抽出される特徴量を用いて行うことが主流で …