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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 21–30 of 59 papers

TitleStatusHype
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning—0
Objects Matter: Learning Object Relation Graph for Robust Camera Relocalization—0
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization—0
Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild—0
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
SceneSqueezer: Learning To Compress Scene for Camera Relocalization—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
3D Surfel Map-Aided Visual Relocalization with Learned Descriptors—0
Direct-PoseNet: Absolute Pose Regression with Photometric ConsistencyCode1
RadarLoc: Learning to Relocalize in FMCW Radar—0
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