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Reseach Article

A Survey of Face Morphing Techniques

Published on February 2014 by D. R. Kasat, Sanjeev Jain, V. M. Thakare
Recent Trends in Information Security
Foundation of Computer Science USA
RTINFOSEC - Number 1
February 2014
Authors: D. R. Kasat, Sanjeev Jain, V. M. Thakare
516dea4b-fc2f-40a3-b5be-dd928eeb246f

D. R. Kasat, Sanjeev Jain, V. M. Thakare . A Survey of Face Morphing Techniques. Recent Trends in Information Security. RTINFOSEC, 1 (February 2014), 14-18.

@article{
author = { D. R. Kasat, Sanjeev Jain, V. M. Thakare },
title = { A Survey of Face Morphing Techniques },
journal = { Recent Trends in Information Security },
issue_date = { February 2014 },
volume = { RTINFOSEC },
number = { 1 },
month = { February },
year = { 2014 },
issn = 0975-8887,
pages = { 14-18 },
numpages = 5,
url = { /specialissues/rtinfosec/number1/15134-1406/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Recent Trends in Information Security
%A D. R. Kasat
%A Sanjeev Jain
%A V. M. Thakare
%T A Survey of Face Morphing Techniques
%J Recent Trends in Information Security
%@ 0975-8887
%V RTINFOSEC
%N 1
%P 14-18
%D 2014
%I International Journal of Computer Applications
Abstract

Nowadays, face morphing is used in various fields of works such as computer animations, games and movies. Face morphing is an effect that shows a transition from one face image to another face image smoothly. Research on face morphing is as vast as the many interests and needs that can be found in the general public, television or film production. In this paper, we thus review the different morphing techniques that can be used to generate and manipulate faces. Due to the advantages in applying face morphing in various kinds of work, there are several works on face morphing and we can categorize them into three groups, based on their corresponding fields of works as Face Transfer, Facial Animation and Enhancement of Facial Attractiveness.

References
  1. V. Blanz and T. Vetter, ?A Morphable Model for the Synthesis of 3d Faces?, In SIGGRAPH '99: Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, Pages 187-194, New York, USA, ACM Press/Addison-Wesley Publishing Co. 1999.
  2. V. Blanz, K. Scherbaum, T. Vetter and H. P Seidel, ?Exchanging Faces in Images?, Computer Graphics Forum (Proc. EUROGRAPHICS) 23, 3, Pages 669-676, 2004.
  3. D. Bitouk, N. Kumar, S. Dhillon, P. Belhumeur and S. K. Nayar, ?Face Swapping: Automatically Replacing Faces in Photographs?, In SIGGRAPH '08: ACM SIGGRAPH 2008 Papers, Pages 1-8, New York, USA.
  4. Y. Liang, ?Image Based Face Replacement in Video?, Master's Thesis, CSEI Department, National Taiwan University, 2009.
  5. Y. T. Cheng, V. Tzeng, Y. Liang, C. C. Wang, B. Y. Chen, Y. Y. Chuang and M. Ouhyoung,?3d-Model- Based Face Replacement in Video?, In SIGGRAPH 2009 Poster, ACM.
  6. F. Min, N. Sang and Z. Wang, ?Automatic Face Replacement in Video Based On 2d Morphable Model? ,Proceeding ICPR '10 Proceedings Of The 2010 20th International Conference On Pattern Recognition, IEEE Computer Society Washington, Dc, USA 2010. Pages: 2250-2253.
  7. K. Dale, K. Sunkavalli, M. K. Johnson, D. Vlasic, W. Matusik, and H. P fister,?Video Face Replacement?,ACM Transactions On Graphics (Proc. SIGGRAPH Asia) 30, 6, 2011.
  8. A. Niswar, E. P. Ong and Z. Huang ,?Face Replacement in Video from a Single Image?, In SIGGRAPH Asia 2012 Posters, ACM.
  9. D. Vlasic, M. Brand, H. P fister and J. Popovi´C,?Face Transfer with Multilinear Models?, ACM Trans. Graphics (Proc. SIGGRAPH) 24, 3, Pages 426–433, 2005.
  10. P. P´Erez, M. Gangnet and A. Blake,?Poisson Image Editing?,. ACM Trans, Graphics (Proc. SIGGRAPH) 22, 3, Pages 313–318, 2003.
  11. S. Gao, C. Werner and Amy A. Gooch ,?Morphable Guidelines For The Human Head?, Proceedings Of The Symposium On Computational Aesthetics, ACM New York, USA 2013 Pages 21-28.
  12. K. Grammer, and R. Thornhill, ?Human (Homo sapiens) facial attractiveness and sexual selection: the role of symmetry and averageness?, J . Comp. Psychol. 108 (3)(1994)233–242.
  13. Thierry Lauthelier and Marc Neveu,?Facial animation by reverse morphing on a sequence of real images", ANN TELECOMMUN. , 55, 2000
  14. T. Hastie, R. Tibshirani, and J. Friedman, ?The Elements of Statistical Learning?, Springer, 2003.
  15. T. Leyvand, D. Cohen-Or, G. Drorb and D. Lischinski, ?Data-driven enhancement of facial attractiveness? in: ACM SIGGRAPH, 2008, pp. 1–9.
  16. F. Yang, J. Wang, E. Shechtman, L. Bourdev, and D. Metaxas, ?Expression flow for 3d-aware face component transfer,? ACM Trans. Graph. , vol. 30, no. 4, pp. 60:1–60:10, Jul. 2011.
  17. V. Blanz, C. Basso, T. Poggio, and T. Vetter, ?Reanimating faces in images and video?, Computer Graphics Forum, vol. 22, no. 3, pp. 641–650, 2003.
  18. Y. Eisenthal, G. Dror, and E. Ruppin, ?Facial attractiveness: beauty and the machine?, Neural Computation18(1)(2006)119–42doi:http://dx. doi. org/ 10. 1162/089976606774841602.
  19. D. Perrett,?Effects of sexual dimorphism on facial attractiveness?,Nature 394 (6696)(1998)884– 887.
  20. M. Cunningham, A. Barbee and C. Pike, ?What do women want? Facial metric assessment of multiple motives in the perception of male facial physical attractiveness?, J. Pers. Soc. Psychol. 59 (1)(1990)61– 72.
  21. K. Schmid, D. Marx and ,A. Samal, ?Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios?, Pattern Recognition41(8)(2008)27102717doi:http://dx. doi. or g/10. 1016/j. patcog. 2007. 11. 022.
  22. D. Narain, ?The Perfect Face?, Available on the World Wide Web at /http:// cuip. uchicago. edu /_dlnarain /golden/activity8. htmS.
  23. L. Farkas, T. Hreczko, J. Kolar and ,I. Munro,?Vertical and horizontal proportions of the face in young adult North American Caucasians : revision of neoclassical canons?, Plast. Reconstr. Surg. 75(1)(1985)328–337.
  24. D. Gray, K. Yu, W. Xu, and Y. Gong,?Predicting facial beauty without landmarks?, in: ECCV, 2010.
  25. J. Whitehill and J. Movellan, ?Personalized facial attractiveness prediction?, in: IEEE Conference Series on Automatic Face and Gesture Recognition, 2008.
  26. A. Kagian, G. Dror, T. Leyvand, D. Cohen-Or and E. Ruppin, ?A humanlike predictor of facial attractiveness?, in: NIPS, 2007.
  27. I. Kemelmacher-Shlizerman, E. Shechtman, R. Garg, and S. M. Seitz, ?Exploring photobios,? ACM Trans. Graph. , vol. 30, no. 4, pp. 61:1– 61:10, Jul. 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Face Morphing Image Morphing Face Replacement Video Morphing Face Alignment Morph-able Model