12 citations · 25 across the 6 of their papers we have counts for
6 papers
Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization
Zhenbo Song, Xianghui Ze, Jianfeng Lu +1
This paper addresses the problem of estimating the 3-DoF camera pose for a ground-level image with respect to a satellite image that encompasses the local surroundings. We propose…
Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
Yujiao Shi, Hongdong Li
This paper addresses the problem of vehicle-mounted camera localization by matching a ground-level image with an overhead-view satellite map. Existing methods often treat this prob…
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching
Yujiao Shi, Xin Yu, Liu Liu +3
We address the problem of ground-to-satellite image geo-localization, that is, estimating the camera latitude, longitude and orientation (azimuth angle) by matching a query image c…
Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery
Yujiao Shi, Dylan Campbell, Xin Yu +1
This paper presents a new approach for synthesizing a novel street-view panorama given an overhead satellite image. Taking a small satellite image patch as input, our method genera…
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Yujiao Shi, Xin Yu, Dylan Campbell +1
Cross-view geo-localization is the problem of estimating the position and orientation (latitude, longitude and azimuth angle) of a camera at ground level given a large-scale databa…
Optimal Feature Transport for Cross-View Image Geo-Localization
Yujiao Shi, Xin Yu, Liu Liu +2
This paper addresses the problem of cross-view image geo-localization, where the geographic location of a ground-level street-view query image is estimated by matching it against a…