Dec 20, 2018 · This paper mainly focuses on the variety of local feature descriptors including some theoretical research, mathematical models, and methods or ...
This paper mainly focuses on the variety of local feature descriptors including some theoretical research, mathematical models, methods and algorithms
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[PDF] Local Feature Descriptor for Image Matching: A Survey
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A unique survey of the state-of-the-art image matching methods based on feature descriptor is presented, from which future research may benefit.
The local descriptors are based on the gradient information, that is widely used for image match- ing and registration including optical images, multispectral.
Jul 28, 2016 · In this paper, we review local features and image representations for image retrieval. Because many and many methods are proposed in this area, these methods ...
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This is the official repository for the Information Fusion 2024 paper "Local feature matching using deep learning: A survey".
Oct 22, 2024 · In this review, we explore the evolution of local feature matching from detector-based to detector-free methods, discussing the advantages and disadvantages of ...
A local feature in computer science refers to an outstanding point, object, or region extracted from an image, described by a data vector that is invariant ...
Aug 4, 2020 · Pattern of local gravitational force (plgf): A novel local image descriptor. In IEEE transactions on pattern analysis and machine ...
This paper reviews local features and image representations for image retrieval and describes several methods, grouped into several classes and summarized.