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variance question #15

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jeremywrightkim opened this issue May 9, 2017 · 0 comments

jeremywrightkim commented May 9, 2017 •

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I understood this code.
'double m1 = cv::mean(vec_)[0];'
'double m2 = cv::mean(vec_.mul(vec_))[0];'
'double variance = m2 - m1*m1;'

But I don't understand formula below.
'double variance_all = (calcVariance(delta_shapes.col(0)) + calcVariance(delta_shapes.col(1)))*N;'

Does 2-D variance addition each 1-dimensional variance?
What means of N?
N is count of training sample. But I don't understand why multiply N.

Could you please provide some reference material?

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