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Multi-view 3D point cloud registration method based on generated multi-scale information granules
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DOI：10.1016/j.displa.2026.103372.png)
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摘要
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• Enhancing point cloud expression via FPFH-based information granules. • Removing outliers and weak curvature regions via FCM-based complexity thresholds. • Solving uneven overlap and noise mismatches via multi-view registration. • Improving accuracy via a hierarchical GMM framework for granule alignment. • Using EM algorithm to dynamically adjust granule size in real time.
Keyword:
FPFH-based information granules
FCM-based complexity thresholds
multi-view registration
hierarchical GMM framework
EM algorithm
期刊
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3.4
论文数:
2.2K
被引数:
3.2K
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