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hub / github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture / sg_smooth

Function sg_smooth

FitAdam/src/SGSmooth.cpp:395–465  ·  view source on GitHub ↗

! \brief savitzky golay smoothing. * * This method means fitting a polynome of degree 'deg' to a sliding window * of width 2w+1 throughout the data. The needed coefficients are * generated dynamically by doing a least squares fit on a "symmetric" unit * vector of size 2w+1, e.g. for w=2 b=(0,0,1,0,0). evaluating the polynome * yields the sg-coefficients. at the border non symmectric vector

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Callers 1

filter_hand_poseFunction · 0.85

Calls 2

sg_coeffFunction · 0.85
sizeMethod · 0.80

Tested by

no test coverage detected