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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
Decoupling Features and Coordinates for Few-shot RGB Relocalization—0
CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation—0
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
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
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM—0
Multi-Output Learning for Camera Relocalization—0
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network—0
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