Acta Optica Sinica, Volume. 38, Issue 2, 0210004(2018)
Robust and Precise Affine Registration for Faces Based on Fast Affine Template Matching and Modified Affine Iterative Closet Point Algorithm
Fig. 1. Two similarity measure point set sampling methods. (a) Proposed method; (b) Fast-match algorithm
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
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Liyang Wu, Lei Xiong, Shaoyi Du, Duyan Bi, Ting Fang. Robust and Precise Affine Registration for Faces Based on Fast Affine Template Matching and Modified Affine Iterative Closet Point Algorithm[J]. Acta Optica Sinica, 2018, 38(2): 0210004
Category: Image Processing
Received: Jun. 16, 2017
Accepted: --
Published Online: Aug. 30, 2018
The Author Email: Wu Liyang (asdf2008808@163.com)