AI RESEARCH
Efficient feature matching for UAV images based on compact GPU data scheduling
arXiv CS.CV
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ArXi:2505.22089v2 Announce Type: replace Feature matching dominates the time costs in structure from motion (SfM). The primary contribution of this study is a GPU data schedule algorithm for efficient feature matching of Unmanned aerial vehicle (UAV) images. The core idea is to divide the whole dataset into blocks based on matrix band reduction (MBR) and achieve efficient feature matching via GPU-accelerated cascade hashing.