A parameterized representation for the cartoon sample space

  • Authors:
  • Yuehu Liu;Yuanqi Su;Yu Shao;Daitao Jia

  • Affiliations:
  • Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R. China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R. China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R. China;Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R. China

  • Venue:
  • MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
  • Year:
  • 2010

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Abstract

In this paper, the cartoon sample space and its organization are presented. The samples consisting the faces and the corresponding facial cartoons drawn by artists, are parameterized according to the proposed cartoon face model, forming the painting parameter definition (PPD) and the reference shape definition (RSD). And tow conversions constitute the maps between RSD and PPD. Using the cartoon sample space, the parametric representation and organization of the samples across different styles can be resolved in a unified framework, which forms the basis for automatic cartoon face modeling and facial cartoon rendering based on the sample learning.