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Fig 1.

A. 3D-body model from 2D images. B. Key points to separate body segments.

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Fig 1 Expand

Fig 2.

Body shape feature derives from front and side curves.

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Fig 2 Expand

Table 1.

Procedures used in the support vector regression for the photographic estimation of body fat.

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Table 1 Expand

Table 2.

Sample characteristics.

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Table 2 Expand

Fig 3.

Correlations between predicted body fat from the photographs and dual-energy x-ray absorptiometry (DXA).

(A) and Bland-Altman plots of the absolute (B) and relative (C) differences between the two methods (horizontal lines represent the 95% confidence intervals) among adults.

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Fig 3 Expand

Fig 4.

Correlations between predicted body fat from the photographs and dual-energy x-ray absorptiometry (DXA).

(A) and Bland-Altman plots of the absolute (B) and relative (C) differences between the two methods (horizontal lines represent the 95% confidence intervals) among children.

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Fig 4 Expand

Table 3.

Correlations and concordance between DXA and estimated body fat.

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Table 3 Expand