Rethinking the Rotation Invariance of Local Convolutional Features for Content-Based Image Retrieval
نویسندگان
چکیده
منابع مشابه
A Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کاملA Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2021
ISSN: ['0916-8532', '1745-1361']
DOI: https://doi.org/10.1587/transinf.2020edp7017