Education, Science, Technology, Innovation and Life
Open Access
Sign In

An Automatic Deformation for Facial Smile using PSO Detection

Download as PDF

DOI: 10.23977/jeis.2017.21006 | Downloads: 9 | Views: 2230

Author(s)

Zhijie Li 1, Xiaodong Duan 1, Cunrui Wang 1, Jian Yun 1, Bo Lu 1

Affiliation(s)

1 School of Computer Science and Engineering, Dalian Minzu University, Dalian 116600, China

Corresponding Author

Zhijie Li

ABSTRACT

To improve the convenience of triangulation based image warping algorithm, an automatic approach for facial expression deformation is presented. In order to guarantee the expression deformation is dealt with high quality and conveniently, the approach uses two key technologies: the PSO detection and the affine transformation. The PSO algorithm is utilized to search the optimal position of rectangle containing face and eyes. The affine transformation is applied to warp related triangles to deform expression. The simulation results show that this method can produce natural smile expression, without marking the spots manually, especially works well for some shy smile expressions.

KEYWORDS

Facial expression; Face detection; Expression deformation; Particle swarm optimization; Affine transformation.

CITE THIS PAPER

Zhijie, L. , Xiaodong, D. , Cunrui, W. , Jian, Y. , Bo, L. (2017) An Automatic Deformation for Facial Smile using PSO Detection. Journal of Electronics and Information Science (2017) 2: 51-55.

REFERENCES

[1] Yingli Tian, Takeo Kanade, Jeffrey F. Cohn. Handbook of Face Recognition. 2011, Part 2, 487-519.
[2] Y. Zhang, H. Zhao. Journal of Image and Graphics, Vol. 6A (2001), p. 365-368. 
[3] X.D. Duan, C.R Wang, X.D. Liu. Particle Swarm Optimization and Application. Liaoning University Press, Shenyang, 2005.
[4] Zhijie Li, Xiangdong Liu, Xiaodong Duan, Cunrui Wang. ICIC Express Letters, Vol. 7(2013), p. 2837-2842. 
[5] Shang Gao, Cungen Cao. Advances in Information Sciences and Service Sciences, Vol. 4 (2012), p. 25-32. 

Downloads: 1329
Visits: 110484

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.