{"ID":2886192,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.03179","arxiv_id":"2508.03179","title":"Advancing Precision in Multi-Point Cloud Fusion Environments","abstract":"This research focuses on visual industrial inspection by evaluating point clouds and multi-point cloud matching methods. We also introduce a synthetic dataset for quantitative evaluation of registration method and various distance metrics for point cloud comparison. Additionally, we present a novel CloudCompare plugin for merging multiple point clouds and visualizing surface defects, enhancing the accuracy and efficiency of automated inspection systems.","short_abstract":"This research focuses on visual industrial inspection by evaluating point clouds and multi-point cloud matching methods. We also introduce a synthetic dataset for quantitative evaluation of registration method and various distance metrics for point cloud comparison. Additionally, we present a novel CloudCompare plugin...","url_abs":"https://arxiv.org/abs/2508.03179","url_pdf":"https://arxiv.org/pdf/2508.03179v1","authors":"[\"Ulugbek Alibekov\",\"Vanessa Staderini\",\"Philipp Schneider\",\"Doris Antensteiner\"]","published":"2025-08-05T07:43:52Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.GR\"]","methods":"[]","has_code":false}