2013
DOI: 10.1016/j.cviu.2013.07.009
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EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling

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Cited by 6 publications
(1 citation statement)
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“…Following digitization, geometric morphometric techniques were used to extract, visualize, and test for shape variation consistent with body size, sex, and habitat type. Generalized Procrustes Analysis (least squares method) was used to align and transpose all individuals along a common scale (Cho et al 2013). In doing so, comparisons in shape can be made between each specimen (Bartoli et al 2013).…”
Section: Morphological Data Analysismentioning
confidence: 99%
“…Following digitization, geometric morphometric techniques were used to extract, visualize, and test for shape variation consistent with body size, sex, and habitat type. Generalized Procrustes Analysis (least squares method) was used to align and transpose all individuals along a common scale (Cho et al 2013). In doing so, comparisons in shape can be made between each specimen (Bartoli et al 2013).…”
Section: Morphological Data Analysismentioning
confidence: 99%