Abstract
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.
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Acknowledgement
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).
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Zhang, S., Wang, N., Li, J., Gao, X. (2015). A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging. In: He, X., et al. Intelligence Science and Big Data Engineering. Image and Video Data Engineering. IScIDE 2015. Lecture Notes in Computer Science(), vol 9242. Springer, Cham. https://doi.org/10.1007/978-3-319-23989-7_9
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DOI: https://doi.org/10.1007/978-3-319-23989-7_9
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