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Found 3 papers, 1 papers with code
Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization
This paper introduces a novel and distributed method for detecting inter-map loop closure outliers in simultaneous localization and mapping (SLAM).
Essential Matrix Estimation using Convex Relaxations in Orthogonal Space
We introduce a novel method to estimate the essential matrix for two-view Structure from Motion (SfM).
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition
In the last few years, there has been an increasing trend to consider Structure from Motion (SfM, in computer vision) and Simultaneous Localization and Mapping (SLAM, in robotics) problems from the point of view of pose averaging (also known as global SfM, in computer vision) or Pose Graph Optimization (PGO, in robotics), where the motion of the camera is reconstructed by considering only relative rigid body transformations instead of including also 3-D points (as done in a full Bundle Adjustment).
