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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 31–40 of 59 papers

TitleStatusHype
Graph Attention Network for Camera Relocalization on Dynamic Scenes—0
HAL-NeRF: High Accuracy Localization Leveraging Neural Radiance Fields—0
SceneSqueezer: Learning To Compress Scene for Camera Relocalization—0
Semantic Object-level Modeling for Robust Visual Camera Relocalization—0
Towards CNN Map Compression for camera relocalisation—0
Towards CNN map representation and compression for camera relocalisation—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM—0
3D Surfel Map-Aided Visual Relocalization with Learned Descriptors—0
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
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