Human face aging with guided prediction and detail synthesis
In this paper, we present an example-based method to estimate the aging process of a human face. To tackle the difficulty of collecting considerable chronological photos of individuals, we utilize a two-layer strategy. Based on a sparse aging database, an EM-PCA-based algorithm with the personal guidance vector is first applied to conjecture the temporal variations of a target face. Since the subspace-based prediction may not preserve detailed creases, we propose synthesizing facial details with a separate texture dataset. Besides automatic simulation, the proposed framework can also include further guidance, e.g., parents’ impact vector or users’ indication of wrinkles. Our estimated results can improve feature point positions and user evaluation demonstrates that the two-layer approach provides more reasonable aging prediction.
KeywordsFace aging Image generation Pattern analysis
Authors would like to appreciate Hui-Ping Liu for her initial trials on face aging, and thank the volunteers that participated in our experiments. Ming-Han Tsai and Yen-Kai Liao are the co-first authors and I-Chen Lin is the corresponding author. This paper was partially supported by the National Science Council, Taiwan under grant no. NSC 100-2221-E-009-148.
- 1.Blanz V and Vetter T (1999) A morphable model for the synthesis of 3D faces. Proc. SIGGRAPH’99, pp. 187–194Google Scholar
- 3.Chou J-K and Yang C-K (2011) Simulation of Face/Hairstyle Swapping in Photographs with Skin Texture Synthesis. Multimedia Tools and Applications (MTAP). doi: 10.1007/s11042-011-0891-1
- 12.Liu Z, Shan Y, Zhang Z (2001) Expressive expression mapping with ratio images. Proc. ACM SIGGRAPH’01, pp. 271–276, AugGoogle Scholar
- 13.Mohammed U, Prince SJD and Kautz J (2009) Visio-lization: generating novel facial images. ACM Trans. Graphics, 28(3): 57:1–57:8Google Scholar
- 15.Ramanathan N, Chellappa R (2006) Modeling age progression in young faces. Proc IEEE Conf Comput Vis Pattern Recogn 1:387–394Google Scholar
- 18.Seitz SM and Dyer CR (1996) View Morphing. Proc. ACM SIGGRAPH’ 96, pp. 21–30, AugGoogle Scholar
- 21.The FG-NET Aging Database (2002) http://www.fgnet.rsunit.com/
- 22.Wang C-C, Su Y-C, Hsu C-T, Lin C-W and Mark Liao H-Y (2009) Bayesian Age Estimation on Face Images. Proc. IEEE International Conference on Multimedia and Expo, New York, USA, pp. 282–285, JuneGoogle Scholar
- 23.Zimbler MS, Kokoska MS, Thomas JR (2001) Anatomy and pathophysiology of facial aging. Facial Plast Surg Clin N Am 9(2):179–187Google Scholar