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A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging

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Intelligence Science and Big Data Engineering. Image and Video Data Engineering (IScIDE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9242))

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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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Authors and Affiliations

  1. VIPS Lab, School of Electronic Engineering, Xidian University, Xi’an, 710071, China

    Shengchuan Zhang, Jie Li & Xinbo Gao

  2. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, 710071, China

    Nannan Wang

Authors
  1. Shengchuan Zhang
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  2. Nannan Wang
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  3. Jie Li
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  4. Xinbo Gao
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Corresponding author

Correspondence to Shengchuan Zhang .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Xiaofei He

  2. Xidian University, Xi'an, China

    Xinbo Gao

  3. Northwestern Polytechnical University, Shaanxi, China

    Yanning Zhang

  4. Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  5. Chinese Academy of Sciences, Beijing, China

    Zhi-Yong Liu

  6. Suzhou University of Science and Technology, Suzhou, China

    Baochuan Fu

  7. Suzhou University of Science and Technology, Jiangsu, China

    Fuyuan Hu

  8. Suzhou University of Science and Technology, Jiangsu, China

    Zhancheng Zhang

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© 2015 Springer International Publishing Switzerland

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23987-3

  • Online ISBN: 978-3-319-23989-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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