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球形点云的目标拟合方法基于投射过和K-Means集群发声.

Zhe Wang1, Jiacheng Hu1, Yushu Shi2

  • 1Key Laboratory of In-Situ Metrology, Ministry of Education, China Jiliang University, Hangzhou 310018, China.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括

一个新的PK-RANSAC算法改进了工业计算机断层扫描 (CT) 测量中的球状点云. 这种方法通过结合投影过和K-Means集群,显著提高了准确性和稳定性,克服了传统算法的局限性.

关键词:
CT测量的测量CT测量K-Means集群是指一个集群.球体目标配件 (STF) 是指球体目标配件.三维点数据投影的三维数据投影.

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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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