Image-Based Localization
21 papers with code • 4 benchmarks • 6 datasets
Determining the location of an image without GPS based on cross-view matching. In most of the cases a database of satellite images is used to match the ground images to them.
Datasets
Latest papers
Image-based Geolocalization by Ground-to-2.5D Map Matching
In this paper, we lift cross-view matching to a 2. 5D space, where heights of structures (e. g., trees and buildings) provide geometric information to guide the cross-view matching.
Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
In this article, we present a simplified but effective architecture based on contrastive learning with symmetric InfoNCE loss that outperforms current state-of-the-art results.
TBPos: Dataset for Large-Scale Precision Visual Localization
Usually the query images have been acquired with a camera that differs from the imaging hardware used to collect the 3D database; consequently, it is hard to acquire accurate ground truth poses between query images and the 3D database.
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
To address the above three challenges for cross-view image matching, we propose a new backbone network, named Simple Attention-based Image Geo-localization network (SAIG).
Privacy-Preserving Visual Localization with Event Cameras
We present a robust, privacy-preserving visual localization algorithm using event cameras.
Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
Inspired by the human visual system for mining local patterns, we propose a new framework called RK-Net to jointly learn the discriminative Representation and detect salient Keypoints with a single Network.
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
It does not rely on polar transform and infers faster than CNN-based methods.
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
In order to apply dense methods to real-world applications, such as pose estimation, image manipulation, or 3D reconstruction, it is therefore crucial to estimate the confidence of the predicted matches.
Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching
This paper proposes a novel approach to map-based navigation system for unmanned aircraft.
Calibrated and Partially Calibrated Semi-Generalized Homographies
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera.