A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging

  • Shengchuan Zhang
  • Nannan Wang
  • Jie Li
  • Xinbo Gao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9242)


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.


Face 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).


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Shengchuan Zhang
    • 1
  • Nannan Wang
    • 2
  • Jie Li
    • 1
  • Xinbo Gao
    • 1
  1. 1.VIPS Lab, School of Electronic EngineeringXidian UniversityXi’anChina
  2. 2.State Key Laboratory of Integrated Services Networks, School of Telecommunications EngineeringXidian UniversityXi’anChina

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