GitHub - vignywang/Awesome-Local-Feature-Matching
2024年3月3日 · Local feature matching enjoys wide-ranging applications in the realm of computer vision, encompassing domains such as image retrieval, 3D reconstruction, and object …
Semantic Masking and Visual Feature Matching for Robust Localization
2024年11月4日 · To address this gap, we present a computationally efficient semantic masking approach for visual feature matching that improves the accuracy and robustness of visual …
GitHub - cvg/Hierarchical-Localization: Visual localization made …
Hierachical Localization uses both image retrieval and feature matching. Build 3D maps with Structure-from-Motion and localize any Internet image right from your browser! You can now …
Improving Feature-based Visual Localization by Geometry-Aided Matching
2022年11月16日 · We apply GAM to a new hierarchical visual localization pipeline and show that GAM can effectively improve the robustness and accuracy of localization. Extensive …
Local feature matching using deep learning: A survey
2024年7月1日 · Local feature matching enjoys wide-ranging applications in the realm of computer vision, encompassing domains such as image retrieval, 3D reconstruction, and object …
Feature matching based on local windows aggregation
2024年9月20日 · Therefore, we propose a local window-based feature matching method. This method first processes the image through a local window aggregation module consisting of …
3D Feature Matching - Papers With Code
Visual localization is the task of estimating a 6-DoF camera pose of a query image within a provided 3D reference map. We apply GAM to a new hierarchical visual localization pipeline …
ential matches being missed or the correct matches being filtered out. In this work, we propose a novel method called Geometry-Aided Matching (GAM), which incorporates both ap-pearance …
Feature group matching for appearance-based localization
2008年10月14日 · In this paper, we address the issues of appearance-based topological and metric localization by introducing a novel group matching approach to select less but more …
Discriminative Feature-to-Point Matching in Image-Based Localization ...
Abstract: The prevalent approach to image-based localization is matching interest points detected in the query image to a sparse 3D point cloud representing the known world. The obtained …