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Video puppetry: a performative interface for cutout animation
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Source International Conference on Computer Graphics and Interactive Techniques archive
ACM SIGGRAPH Asia 2008 papers table of contents
Singapore
SESSION: Character animation II table of contents
Article No. 124  
Year of Publication: 2008
ISSN:0730-0301
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Authors
Connelly Barnes  Princeton University
David E. Jacobs  University of California, Berkeley
Jason Sanders  University of California, Berkeley
Dan B Goldman  Adobe Systems
Szymon Rusinkiewicz  Princeton University
Adam Finkelstein  Princeton University
Maneesh Agrawala  University of California, Berkeley
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a video-based interface that allows users of all skill levels to quickly create cutout-style animations by performing the character motions. The puppeteer first creates a cast of physical puppets using paper, markers and scissors. He then physically moves these puppets to tell a story. Using an inexpensive overhead camera our system tracks the motions of the puppets and renders them on a new background while removing the puppeteer's hands. Our system runs in real-time (at 30 fps) so that the puppeteer and the audience can immediately see the animation that is created. Our system also supports a variety of constraints and effects including articulated characters, multi-track animation, scene changes, camera controls, 2 1/2-D environments, shadows, and animation cycles. Users have evaluated our system both quantitatively and qualitatively: In tests of low-level dexterity, our system has similar accuracy to a mouse interface. For simple story telling, users prefer our system over either a mouse interface or traditional puppetry. We demonstrate that even first-time users, including an eleven-year-old, can use our system to quickly turn an original story idea into an animation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Connelly Barnes: colleagues
David E. Jacobs: colleagues
Jason Sanders: colleagues
Dan B Goldman: colleagues
Szymon Rusinkiewicz: colleagues
Adam Finkelstein: colleagues
Maneesh Agrawala: colleagues