Article

Geometry-Aware Epipolar Correspondence Graphs for Monocular Visual Odometry

Prateeth Rao and Sachit Rao propose a geometry-aware epipolar correspondence graph method that uses epipolar constraints to guide the construction and pruning of correspondence graphs, then a graph learning module generates a geometric context vector, which is passed through an MLP to output rotation and translation for camera pose estimation.

Part of the event: Geometry-Aware Epipolar Correspondence Graph for Monocular Visual Odometry

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