L. Č. Zajc

Evaluation of Image Matching Methods for Visual Odometry on UAVs

This paper evaluates recent state-of-the-art image matching methods for the task of VO for UAV position tracking, with a downwards-facing camera, on a synthetic dataset, and finds that while the best results are generated by the recent RoMa matcher, SIFT features can outperform some recent state-of-the-art methods.