Comparison of sparse point distribution models
Comparison of sparse point distribution models
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DOI：
10.1007/s00138-009-0203-1
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发表时间：
2010-10
影响因子：
3.3
通讯作者：
Søren G. H. Erbou;Martin Vester-Christensen;R. Larsen;L. B. Christensen;B. Ersbøll
中科院分区：
文献类型：
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作者：
Søren G. H. Erbou;Martin Vester-Christensen;R. Larsen;L. B. Christensen;B. Ersbøll
本文比较了几种方法获得稀疏和紧凑的点分布模型，适合于包含许多变量的数据集。这些评价的数据库，包括从CT扫描的33头猪尸体获得的骨盆骨的一部分的3D表面。相对于稀疏性，重建误差和可解释性的上级模型被发现是一个方差最大旋转模型与阈值适用于小负载。这些模型描述了数据库中的生物变异，并用于开发自动化屠宰场劳动密集型程序时的机器人工具。
This paper compares several methods for obtaining sparse and compact point distribution models suited for data sets containing many variables. These are evaluated on a database consisting of 3D surfaces of a section of the pelvic bone obtained from CT scans of 33 porcine carcasses. The superior model with respect to sparsity, reconstruction error and interpretability is found to be a varimax rotated model with a threshold applied to small loadings. The models describe the biological variation in the database and are used for developing robotic tools when automating labor-intensive procedures in abattoirs.