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arXiv Computer Vision By Ziyang Yu, Xiang Li, Qiong Chang, Jun Miyazaki

FlashReg: GPU-Accelerated 3-Clique Point Cloud Registration for Real-Time Correspondence-to-Pose Estimation

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FlashReg is a GPU‑accelerated method for point cloud registration that bypasses the construction of dense second‑order compatibility graphs. It builds a sparse second‑order graph directly from a binary first‑order graph using Fast First‑ and Second‑Order Graph (FFSOG) construction, then performs a dataflow‑optimized 3‑clique search to select correspondence pivots and enumerate triples. On indoor and outdoor benchmarks, FlashReg achieves 2–3× lower correspondence‑to‑pose latency than TurboReg while using roughly half the peak tensor memory on an embedded GPU, making it suitable for high‑throughput onboard perception pipelines.

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