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A Face Cartoon Producer for Digital Content Service

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Mobile Multimedia Processing (WMMP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5960))

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Abstract

Reproducing face cartoon has the potential to be an important digital content service which could be widely used in mobile communication. Here, a face cartoon producer named “NatureFace”, integrated with some novel techniques, is introduced. To generate a face cartoon for a given face involves proper modeling for face, and efficient representation and rendering for cartoon. For both face and cartoon, new definition are introduced for modeling. For face modeling, it is the reference shape; while for cartoons, the painting pattern for corresponding cartoon. Sufficient samples are collected for two parts from the materials supplied by invited artists according to the pre-assigned artistic styles. Given an input face image, the process for generating cartoon has the following steps. First shape features are extracted. Then, painting entities for facial components are selected and deformed to fit current face. Finally, the cartoon rendering engine synthesizes painting entities with rendering rules originated from designated artistic style, resulting in the cartoon. To validate the proposed algorithm, cartoons generated for a group of face images with rare interaction are evaluated and ranked in an artistic style way.

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References

  1. Blake, A., Isard, M.: Active Contours. Springer, Heidelberg (1998)

    Book  Google Scholar 

  2. Cootes, T.F., Taylor, C.J.: Constrained Active Appearance Model. In: IEEE Int’l Conf. Computer Vision (2001)

    Google Scholar 

  3. Chen, H., Liu, Z., Rose, C., Xu, Y., Shum, H.Y., Salesin, D.: Example-Based Composite Sketching of Human Portraits. In: The 3rd Int’l symposium on Non-photorealistic aniamtion and rendering, pp. 95–101 (2004)

    Google Scholar 

  4. Chen, H., Zheng, N., Liang, L., Li, Y., Xu, Y., Shum, H.Y.: A personalized Image-Based Cartoon System. Journal of Software 13(9), 1813–1822 (2002)

    Google Scholar 

  5. MSN cartoon, http://cartoon.msn.com.cn

  6. Tominaga, H., Fujiwara, M., Murakami, T., et al.: On KANSEI facial image processing for computerized facial caricaturing system PICASSO. In: IEEE International Conference on SMC, VI, pp. 294–299 (1999)

    Google Scholar 

  7. Xu, Z., Chen, H., Zhu, S., Luo, J.: A Hierarchical Compositional Model for Face Representation and Sketching. IEEE Transaction on PAMI 30(6), 955–969 (2008)

    Article  Google Scholar 

  8. Liu, Y., Su, Y., Yang, Y.: A facial Sketch Animation Generation for Mobile Communication. In: IAPR Conference on Machine Vision Applications: MVA 2007, Japan (2007)

    Google Scholar 

  9. Ratsch, G., Onoda, T., Muller, K.R.: Soft Margin for AdaBoost. Machine Learning 42(3), 287–320 (2001)

    Article  MATH  Google Scholar 

  10. Liu, Y., Zhu, Y., Su, Y., Yuan, Z.: Image Based Active Model Adaptation Method for Face Reconstruction and Sketch Generation. In: The First International Conference on Edutainment 2006, pp. 928–933 (2006)

    Google Scholar 

  11. You, Q., Du, S.: The Splicer for facial Component Image. Technique Report, Institute of Artificial Intelligence and Robotics. Xi’an Jiaotong University (2006)

    Google Scholar 

  12. Deng, Z., Neumann, U.: Data-Driven 3D Facial Animation. Springer, Heidelberg (2008)

    Google Scholar 

  13. Liu, Y., Yang, Y., Shao, Y., Jia, D.: Cartoon Face Generation and Animation. Technique Report, Institute of Artificial Intelligence and Robotics. Xi’an Jiaotong University (2008)

    Google Scholar 

  14. Smith, A.R.: “Paint”: in Tutorial: Computer Graphics, pp. 501–515. IEEE Press, Los Alamitos (1982)

    Google Scholar 

  15. Whitted, T.: Anti-Aliased Line Drawing using Brush Extrusion. Computer Graphics 17(3), 151–156 (1983)

    Article  Google Scholar 

  16. Rogers, D.F.: Procedural elements for computer graphics, 2nd edn. Mc Graw Hill Press (1998)

    Google Scholar 

  17. Chuia, H., Rangarajan, A.: A new point matching algorithm for non-rigid registration. In: Computer Vision and Image Understanding, vol. 89, pp. 114–141 (2003)

    Google Scholar 

  18. Liu, Y., Su, Y., Shao, Y., Jia, D.: A Parameterized Representation for the Cartoon Sample Space. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, Y.-P.P. (eds.) MMM 2010. LNCS, vol. 5916, pp. 767–772. Springer, Heidelberg (2010)

    Google Scholar 

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Liu, Y., Su, Y., Shao, Y., Wu, Z., Yang, Y. (2010). A Face Cartoon Producer for Digital Content Service. In: Jiang, X., Ma, M.Y., Chen, C.W. (eds) Mobile Multimedia Processing. WMMP 2008. Lecture Notes in Computer Science, vol 5960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12349-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-12349-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12348-1

  • Online ISBN: 978-3-642-12349-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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