Comparison of sparse point distribution models

Søren Gylling Hemmingsen Erbou; Martin Vester-Christensen; Rasmus Larsen; Lars Bager Christensen; Bjarne Kjær Ersbøll

doi:10.1007/s00138-009-0203-1

Comparison of sparse point distribution models

Søren Gylling Hemmingsen Erbou, Martin Vester-Christensen, Rasmus Larsen, Lars Bager Christensen, Bjarne Kjær Ersbøll

Danish Meat Research Institute

Research output: Contribution to journal › Journal article › Research › peer-review

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 w.r.t. 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 is used for developing robotic tools when automating labor intensive procedures in slaughterhouses.

Original language	English
Journal	Machine Vision & Applications
Volume	21
Issue number	6
Pages (from-to)	999-1008
ISSN	0932-8092
DOIs	https://doi.org/10.1007/s00138-009-0203-1
Publication status	Published - 2010

Keywords

Robotic Tools
Sparse PCA
Varimax
Point distribution models
Image analysis

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AU - Ersbøll, Bjarne Kjær

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AB - 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 w.r.t. 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 is used for developing robotic tools when automating labor intensive procedures in slaughterhouses.

KW - Robotic Tools

KW - Sparse PCA

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KW - Image analysis

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Comparison of sparse point distribution models

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Keywords

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