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Area of Science:

  • Computer graphics
  • Human-computer interaction
  • Computer vision

Background:

  • Facial puppetry systems often require specialized hardware or multiple images.
  • Existing methods may struggle with real-time performance and person-specific facial characteristics.

Purpose of the Study:

  • To present a novel real-time facial puppetry system.
  • To enable expression transfer using minimal input (single image) and no special hardware.
  • To achieve high-performance facial animation for diverse avatars.

Main Methods:

  • Real-time 3D non-rigid tracking of user's facial expressions.
  • Expression transfer combining a generic model with person-specific synthetic examples.
  • Evaluation on avatars of real people, masks, and cartoon characters.

Main Results:

  • The system operates in real-time at 23 frames per second.
  • Requires only a single image of the avatar and user.
  • Successfully captures and transfers facial expressions accurately.
  • Demonstrates performance across various avatar types.

Conclusions:

  • The proposed facial puppetry system offers a lightweight and efficient solution.
  • It overcomes limitations of existing methods by using single-image input and no special hardware.
  • The approach is versatile and effective for animating diverse digital characters.