while comparing the minimum eigenvalue computed for an image using ippiEigenValsVecs_8u32f_C1R / ippiEigenValsVecs_32f_C1R with the same feature evaluated from scratch with the given formulas, it seems that the output is being normalized by a factor that depends from the employed derivative kernel. In particular, results are normalized by 4080 (255 << 4) and 65280 (255 << 8) in case of Sobel 3x3 and Sobel 5x5, respectively. The normalization factor for Scharr 3x3 seems about 6661.23.... where does this values come from? Anybody can answer?
PS: i am using IPP 6.0