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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
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation—0
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization—0
Hinted Networks—0
Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization—0
Diversity in Machine Learning—0
Full-Frame Scene Coordinate Regression for Image-Based Localization—0
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
Towards CNN map representation and compression for camera relocalisation—0
Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network—0
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