PERFORMANCE TEST OF MPMD MATCHING ALGORITHM FOR GEOMAGNETIC AND RFID COMBINED UNDERGROUND POSITIONING




Point Cloud Denoising and Feature Preservation: An Adaptive Kernel Approach Based on Local Density and Global Statistics

Noise removal is a critical stage in the preprocessing of point clouds, exerting a significant impact on subsequent processes such as point cloud classification, segmentation, feature extraction, and 3D reconstruction.The exploration of methods capable of adapting to and effectively handling the noise Ringette - Accessories in point clouds from rea

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