MAG-VLAQ fuses multi-modal ground and aerial data via ODE-conditioned vector-of-locally-aggregated-queries to nearly double recall@1 on aerial-ground place recognition benchmarks.
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The paper experimentally compares SIFT and ORB on GPS-annotated satellite image tiles by measuring inlier ratios after RANSAC homography estimation and analyzing how the number of keypoints affects matching quality.
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MAG-VLAQ: Multi-modal Aerial-Ground Query Aggregation for Cross-View Place Recognition
MAG-VLAQ fuses multi-modal ground and aerial data via ODE-conditioned vector-of-locally-aggregated-queries to nearly double recall@1 on aerial-ground place recognition benchmarks.
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Mathematical Analysis of Image Matching Techniques
The paper experimentally compares SIFT and ORB on GPS-annotated satellite image tiles by measuring inlier ratios after RANSAC homography estimation and analyzing how the number of keypoints affects matching quality.