A Support Vector Data Description Committee for Face Detection

Figure 2

(a) shows the distribution of the randomly selected face patterns in a 2D PCA-based subspace. (b), (c), and (d) show the SVDD training results using 𝜎=100, 𝜎=10, and 𝜎=1, respectively. The white curves are the SVDD decision boundaries. The blue crosses with white circles denote the UBSVs, while the blue crosses with red circles in the upper-right subfigure are BSVs. The penalty weight 𝐶 is set as 0.3 in all the experiments.

(a)

(b)

(c)

(d)