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Efficient Large Scale Inlier Voting for Geometric Vision Problems
Outlier rejection and equivalently inlier set optimization is a key ingredient in numerous applications in computer vision such as filtering point-matches in camera pose estimation or plane and normal estimation in point clouds.
Large-scale, real-time visual-inertial localization revisited
Our approach spans from offline model building to real-time client-side pose fusion.
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization
We propose LandmarkBoost - an approach that, in contrast to the conventional 2D-3D matching methods, casts the search problem as a landmark classification task.
Camera Pose Voting for Large-Scale Image-Based Localization
Image-based localization approaches aim to determine the camera pose from which an image was taken.
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