Mean (平均) x_mean = ( \sigma_{1}^{n} ( x_i ) ) / n y_mean = ( \sigma_{1}^{n} ( y_i ) ) / n Variance (分散) s_x^2 = ( \sigma_{1}^{n} ( x_i - x_mean )^2 ) / n s_y^2 = ( \sigma_{1}^{n} ( y_i - y_mean )^2 ) / n Root-mean-square deviation (標…

This articles is the memo of the "Clustered Principal Components for Precomputed Radiance Transfer". 0. Compute the exiting radiance matrix M_p_ij at position p. To project SH basis onto the hemisphere, the least-squares optimal projection…