Fig. 1. Two similarity measure point set sampling methods. (a) Proposed method; (b) Fast-match algorithm

Fig. 2. Annotation order of 42 facial feature points

Fig. 3. Partial affine registration effect graphs for different face registration algorithms. (a) Rotate 90°; (b) Rotate 0°; (c) shrink to the half; (d) Rotate 45° and expand to 1.5 times

Fig. 4. Partial affine registration results for different face registration algorithms

Fig. 5. Face affine registration effect graphs of FSFR algorithm with different Gaussian noise interferences. (a) Template face image; (b) variance of 0.01; (c) variance of 0.05; (d) variance of 0.1; (e) variance of 0.2; (f) variance of 0.4; (g) variance of 0.6; (h) variance of 0.8; (i) variance of 1.0

Fig. 6. Face affine registration error curves of FSFR algorithm with different constraint coefficients

Fig. 7. Face affine registration effect graphs of FSFR algorithm with different constraint coefficients. (a) α=0; (b) α=0.5; (c) α=1; (d) α=1.5; (e) α=2; (f) α=2/k

Table 1. Affine registration results for different face registration algorithms

Table 2. Face affine registration error results for different face registration algorithms with different Gaussian noise interferences