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Advancing Precision in Multi-point Cloud Fusion Environments

delete2026-01-01
delete0
PRE
AI
U
Ulugbek Alibekov *
V
Vanessa Staderini
P
Philipp Schneider
D
Doris Antensteiner
DOI：10.1007/978-3-032-07623-6_10delete
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摘要

摘要

En 中文
本研究聚焦于视觉工业检测，通过评估点云和多点云匹配方法。我们还引入了一个合成数据集，用于注册方法的定量评估以及点云比较的各种距离度量。此外，我们提出了一种新型的CloudCompare插件，用于合并多个点云和可视化表面缺陷，提高了自动化检测系统的准确性和效率。
Keyword:
Point cloud registration
Synthetic dataset generation
Industrial inspection
Distance metrics
CloudCompare plugin

期刊

C
COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VISIGRAPP 2024
IF:
0
论文数:
26
被引数:
0

机构

A
austrian institute of technology (ait)
学者数:
105
论文数: 40
被引数: 0
引用论文

引用论文

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