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Camera Relocalization

"Camera relocalization, or image-based localization is a fundamental problem in robotics and computer vision. It refers to the process of determining camera pose from the visual scene representation and it is essential for many applications such as navigation of autonomous vehicles, structure from motion (SfM), augmented reality (AR) and simultaneous localization and mapping (SLAM)." (Source)

Papers

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Showing 41–50 of 59 papers

TitleStatusHype
Learning to Navigate the Energy Landscape—0
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation—0
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement—0
Multi-Output Learning for Camera Relocalization—0
OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM—0
Objects Matter: Learning Object Relation Graph for Robust Camera Relocalization—0
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation—0
RadarLoc: Learning to Relocalize in FMCW Radar—0
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization—0
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization—0
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