PicToon: A personalized image-based cartoon system

  • Hong Chen
  • , Nan Ning Zheng
  • , Lin Liang
  • , Yan Li
  • , Ying Qing Xu
  • , Heung Yeung Shum

Research output: Contribution to conferencePaperpeer-review

47 Scopus citations

Abstract

In this paper, we present PicToon, a cartoon system which can generate a personalized cartoon face from an input Picture. PicToon is easy to use and requires little user interaction. Our system consists of three major components: an image-based Cartoon Generator, an interactive Cartoon Editor for exaggeration, and a speech-driven Cartoon Animator. First, to capture an artistic style, the cartoon generation is decoupled into two processes: sketch generation and stroke rendering. An example-based approach is taken to automatically generate sketch lines which depict the facial structure. An inhomogeneous non-parametric sampling plus a flexible facial template is employed to extract the vector-based facial sketch. Various styles of strokes can then be applied. Second, with the pre-designed templates in Cartoon Editor, the user can easily make the cartoon exaggerated or more expressive. Third, a real-time lip-syncing algorithm is also developed that recovers a statistical audio-visual mapping between the character's voice and the corresponding lip configuration. Experimental results demonstrate the effectiveness of our system.

Original languageEnglish
Pages171-178
Number of pages8
StatePublished - 2002
Event10th International Conference of Multimedia - Juan les Pins, France
Duration: 1 Dec 20026 Dec 2002

Conference

Conference10th International Conference of Multimedia
Country/TerritoryFrance
CityJuan les Pins
Period1/12/026/12/02

Keywords

  • Example-based Learning
  • Lip-syncing
  • Multi-modal interaction and integration
  • Non-parametric Sampling
  • User interfaces

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