Comparison of sparse point distribution models |
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| Abstract | 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. |
| Keywords | Image analysis, Point distribution models, Varimax, Sparse PCA, Robotic Tools |
| Type | Journal paper [With referee] |
| Journal | Machine Vision and Applications |
| Year | 2009 |
| Publisher | Springer |
| Note | DOI: 10.1007/s00138-009-0203-1 |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |