Abstract
Caricature is the art which has exaggerated feature without losing identifiable characteristics of true face. People like the caricature and the acceptance level is very high, along with the widely used cartoon. But the cartoon drawing is an artistic behavior and ordinary people has not been trained strictly, so it is very hard to draw a caricature for themselves or anyone else. Based on these, automatic generation system is born to simulate the caricature. However, the difficulty lies in feature exaggeration, which involves extracting features and establishing new exaggeration rules, and the current rules are not unified and integrated. So this paper devotes to establishing effective exaggeration rules, and puts it into practice. This paper takes the Thin Plate Spline to conduct the image distortion in order to achieve the face features exaggeration. Taking the Thin Plate Spline to distort image can achieve smooth effect, and then deformation only for exaggerating features, so it makes the computation easy. The source image after image distortion is slightly “real”, so we use Canny operator to extract face image edge, and use binary to keep texture information, which can generate sketch effect. Finally, a lot of tests demonstrate that the effect of face feature exaggeration is very good.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shih, Y.C., Paris, S., Barnes, C., Freeman, W.T.: Style transfer for headshot portraits. ACM Trans. Graph. 33(4), 1–14 (2014)
Gambaretto, E., Piña, C.: Real-time animation of cartoon character faces. In: ACM SIGGRAPH 2014 Computer Animation
Rhodes, G.: Secrets of the face. N.Z. J. Psychol. 23(1), 3–17 (1994)
Sherstinsky, A., Picard, R.: M-Lattice: from morphogenesis to image processing. IEEE Trans. Image Process. 5, 1137–1150 (1996)
Wong, E.C.: Artistic rendering of portrait photographs. Master’s thesis. Cornell University (1999)
Brennan, S.: Caricature generator. Master’s thesis. MIT, Cambridge (1982)
Koshimizu, H., Tominaga, M., Fujiwara, T., Murakami, K.: On KANSEI facial processing for computerized facial caricaturing system PICASSO. In: Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 294–299 (1999)
Liang, L., Chen, H., Xu, Shum, H.-Y.: Example-Based caricature generation with exaggeration. In: Proceedings of 10th Pacific Conference on Computer Graphics and Applications (2002)
Chen, H., Liu, Z., Rose, C., Xu, Y., Shum, H.-Y., Salesin, D.: Example-based composite sketching of human portraits. In: Proceedings of the 3rd International Symposium on Non-Photorealistic Animation and Rendering, June 2004
Chiang, P.-Y., Liao, W.-H., Li, T.-Y.: Automatic caricature generation by analyzing facial features. In: Proceedings of Asian Conference on Computer Vision, Korea (2004)
Wenjuan, C., Minyong, S., Qingjie, S.: Caricature synthesis and exaggeration based on facial features and their relationship. J. Comput. Aided Des. Comput. Graph. 22(1), 121–128 (2010)
Bookstein, F.L.: Principal warps: Thin-Plate splines and decomposition of deformation. IEEE Trans. Pattern Anal. Mach. Intell. 11, 567–585 (1989)
Hassanien, A.E., Nakajima, M.: Image morphing of the facial image transformation based on Navier elastic body splines. In: Proceedings of Computer Animation 1998, Geneva, Switzerland, IEEE Computer Society Press, Los Alamitos, CA, pp. 119–125
Acknowledgments.
This paper was supported by “Guangdong Provincial Production Education and Research Major Projects under Grant No.2009A090100025” and “Zhuhai Science and Technology Plan for Production and Research under Grant No.2010B050102021”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Du, X., Bai, J., Zhang, Y., Xu, Y. (2015). A Method of Human Facial Portrait Generation Based on Features Exaggeration. In: Pan, Z., Cheok, A., Mueller, W., Zhang, M. (eds) Transactions on Edutainment XI. Lecture Notes in Computer Science(), vol 8971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48247-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-662-48247-6_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-48246-9
Online ISBN: 978-3-662-48247-6
eBook Packages: Computer ScienceComputer Science (R0)