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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
Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild—0
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
RadarLoc: Learning to Relocalize in FMCW Radar—0
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose EstimationCode0
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
Decoupling Features and Coordinates for Few-shot RGB Relocalization—0
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM—0
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement—0
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