Beyond cross-view image retrieval: Highly accurate vehicle localization using satellite image
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 …
ground-level image with an overhead-view satellite map. Existing methods often treat this …
Meshloc: Mesh-based visual localization
Visual localization, ie, the problem of camera pose estimation, is a central component of
applications such as autonomous robots and augmented reality systems. A dominant …
applications such as autonomous robots and augmented reality systems. A dominant …
Visual localization using imperfect 3d models from the internet
Visual localization is a core component in many applications, including augmented reality
(AR). Localization algorithms compute the camera pose of a query image wrt a scene …
(AR). Localization algorithms compute the camera pose of a query image wrt a scene …
Image and object Geo-localization
The concept of geo-localization broadly refers to the process of determining an entity's
geographical location, typically in the form of Global Positioning System (GPS) coordinates …
geographical location, typically in the form of Global Positioning System (GPS) coordinates …
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
We introduce the task of localizing an input image within a multi-modal reference map
represented by a collection of 3D scene graphs. These scene graphs comprise multiple …
represented by a collection of 3D scene graphs. These scene graphs comprise multiple …
The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement
Pose refinement is an interesting and practically relevant research direction. Pose
refinement can be used to (1) obtain a more accurate pose estimate from an initial prior (eg …
refinement can be used to (1) obtain a more accurate pose estimate from an initial prior (eg …
Learning to Produce Semi-dense Correspondences for Visual Localization
This study addresses the challenge of performing visual localization in demanding
conditions such as night-time scenarios adverse weather and seasonal changes. While …
conditions such as night-time scenarios adverse weather and seasonal changes. While …
CrossLocate: cross-modal large-scale visual geo-localization in natural environments using rendered modalities
We propose a novel approach to visual geo-localization in natural environments. This is a
challenging problem due to vast localization areas, the variable appearance of outdoor …
challenging problem due to vast localization areas, the variable appearance of outdoor …
Vision UFormer: Long-range monocular absolute depth estimation
Abstract We introduce Vision UFormer (ViUT), a novel deep neural long-range monocular
depth estimator. The input is an RGB image, and the output is an image that stores the …
depth estimator. The input is an RGB image, and the output is an image that stores the …
An AR Map Virtual–Real Fusion Method Based on Element Recognition
Z Wang - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
The application of AR to explore augmented map representation has become a research
hotspot due to the growing application of AR in maps and geographic information in addition …
hotspot due to the growing application of AR in maps and geographic information in addition …