LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
Sum-of-squares objective functions are very popular in computer vision algorithms. However, these objective functions are not always easy to optimize. The underlying assumptions made by...
StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks
Robust point cloud registration in real-time is an important prerequisite for many
mapping and localization algorithms. Traditional methods like ICP and its derivatives tend to fail...
BA-Net: Dense Bundle Adjustment Network
This paper introduces a network architecture to solve the structure-from-motion (SfM) problem via feature-metric bundle adjustment (BA), which explicitly enforces multi-view geometry constraints in the...
Learning Less is More – 6D Camera Localization via 3D Surface Regression
Popular research areas like autonomous driving and augmented reality have renewed the interest in image-based camera localization. In this work, we address the task of...