2014
DOI: 10.1016/j.forsciint.2013.10.021
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A spatially-dense regression study of facial form and tissue depth: Towards an interactive tool for craniofacial reconstruction

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Cited by 44 publications
(45 citation statements)
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“…Procrustes residuals are highly correlated, and there are more Procrustes residuals than observations in our sample. In such situations PLSR is preferable to ordinary least-squares regression (Wold et al 1984;Shrimpton et al 2014).…”
Section: Partial Least-squares Regressionmentioning
confidence: 99%
“…Procrustes residuals are highly correlated, and there are more Procrustes residuals than observations in our sample. In such situations PLSR is preferable to ordinary least-squares regression (Wold et al 1984;Shrimpton et al 2014).…”
Section: Partial Least-squares Regressionmentioning
confidence: 99%
“…The effect of each SNP independent from RIP-S and RIP-A was modeled in a separate partial PLSR; similar to the manner in which the original RIP variables were created. Following [30], the effect on a particular quasi-landmark was measured as the magnitude or Euclidean distance of its displacement in 3D space. The effect-size or strength of the relationship was reported as the variance explained by the PLSR model (R 2 ).…”
Section: Generating 3d Pictorial Effects On Facial Morphologymentioning
confidence: 99%
“…Body mass and weight have also be taken into consideration by Parks et al, who, given the documented prevalence of obesity in U.S.A. area, purposely assembled U.S. population to consider escalating weight of them [10]. BMI was also taken into consideration by Shrimpton et al [9], together with sex and age. Nonetheless, specific studies showed that a correlation exists between soft-tissue depth thickness and underlying craniometric dimension regardless to diet, age, and sex [29].…”
Section: Discussionmentioning
confidence: 99%
“…Facial shape reconstruction from skulls of dead bodies is used to recreate the ante-mortem face of an unidentified person [7]. This technique is called facial approximation or (cranio) facial reconstruction and is strictly connected to the evaluation of Facial Soft-Tissue Thickness (FSTT) [8], also called Tissue Depths (TD) [9]. Basically, "accepting that craniofacial soft tissue depths play a fundamental role in the development of an effective facial approximation, it is essential that tissue depth datasets appropriately approximate modern populations" [ [10]: page 146e8].…”
Section: Applicationsmentioning
confidence: 99%
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