Abstract
We present a novel method for generating performance-driven, "hand-drawn" animation in real-time.
Given an annotated set of hand-drawn faces for various expressions, our algorithm performs multi-way
morphs to generate real-time animation that mimics the expressions of a user. Our system consists of
a vision-based tracking component and a rendering component. Together, they form an animation system
that can be used in a variety of applications, including teleconferencing, multi-user virtual worlds,
compressed instructional videos, and consumer-oriented animation kits.
Complete article [Acrobat pdf file]
