A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging
Face sketch aging (FSA) simulation is a challenging task with many real applications. Although researches on face aging have achieved great progress, most of researchers focus on face photos. The main reason is that it is time consuming and expensive to build databases of face sketch aging. In order to escape the process of collecting sketch aging sequences and make use of existing face aging methods, a novel heterogeneous image transformation (HIT) based synthesis framework for face sketch aging is proposed. In the proposed framework, face sketches to be aged are first transferred to pseudo-photos by existing HIT methods. Then existing face aging methods are employed to obtain corresponding aged pseudo-photos. Finally, aged face sketches can be synthesized from obtained aged pseudo-photos via age-related HIT methods. Experimental results demonstrate that the proposed framework achieves exciting performances.
KeywordsFace sketch aging Heterogeneous image transformation Face aging
This research was supported partially by the National Natural Science Foundation of China (Grant Nos. 61201294, 61472304, 61125204, 61432014, and 61172146), the Program for Changjiang Scholars and Innovative Research Team in University of China (No. IRT13088) and the Shaanxi Innovative Research Team for Key Science and Technology (No. 2012KCT-02).
- 1.Ramanathan, N., Chellappa, R.: Modeling shape and textural variations in aging faces. In: 8th IEEE International Conference on Automatic Face Gesture Recognition, pp. 1–8 (2008)Google Scholar
- 3.Suo, J., Chen, X., Shan, S., Gao, W.: Learning long term face aging patterns from partially dense aging databases. In: 12th IEEE International Conference on Computer Vision, pp. 622–629 (2009)Google Scholar
- 4.Kemelmacher-Shlizerman, I., Suwajanakorn, S., Seitz, S.M.: Illumination-aware age progression. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3334–3341 (2014)Google Scholar
- 5.Liu, Q., Tang, X., Jin, H., Lu, H., Ma, S.: A nonlinear approach for face sketch synthesis and recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1005–1010 (2005)Google Scholar
- 6.Chang, L., Zhou, M., Han, Y., Deng, X.: Face sketch synthesis via sparse representation. In: 20th International Conference on Pattern Recognition, pp. 2146–2149 (2010)Google Scholar
- 8.Zhou, H., Kuang, Z., Wong, K.Y.: Markov weight fields for face sketch synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1091–1097 (2012)Google Scholar
- 11.Song, Y., Bao, L., Yang, Q., Yang, M.-H.: Real-time exemplar-based face sketch synthesis. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part VI. LNCS, vol. 8694, pp. 800–813. Springer, Heidelberg (2014) Google Scholar