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Turning to the masters: motion capturing cartoons

Published: 01 July 2002 Publication History

Abstract

In this paper, we present a technique we call "cartoon capture and retargeting" which we use to track the motion from traditionally animated cartoons and retarget it onto 3-D models, 2-D drawings, and photographs. By using animation as the source, we can produce new animations that are expressive, exaggerated or non-realistic.Cartoon capture transforms a digitized cartoon into a cartoon motion representation. Using a combination of affine transformation and key-shape interpolation, cartoon capture tracks non-rigid shape changes in cartoon layers. Cartoon retargeting translates this information into different output media. The result is an animation with a new look but with the movement of the original cartoon.

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Published In

cover image ACM Conferences
SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques
July 2002
574 pages
ISBN:1581135211
DOI:10.1145/566570
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 July 2002

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Author Tags

  1. animation
  2. computer vision
  3. deformations
  4. morphing
  5. object tracking
  6. shape blending
  7. video

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SIGGRAPH '02 Paper Acceptance Rate 67 of 358 submissions, 19%;
Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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  • (2023)Editing Motion Graphics Video via Motion Vectorization and TransformationACM Transactions on Graphics10.1145/361831642:6(1-13)Online publication date: 5-Dec-2023
  • (2023)Spatiotemporally Consistent HDR Indoor Lighting EstimationACM Transactions on Graphics10.1145/359592142:3(1-15)Online publication date: 5-Jun-2023
  • (2023)Ultra-High Resolution SVBRDF Recovery from a Single ImageACM Transactions on Graphics10.1145/359379842:3(1-14)Online publication date: 5-Jun-2023
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  • (2020)Neural Puppet: Generative Layered Cartoon Characters2020 IEEE Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV45572.2020.9093346(3335-3345)Online publication date: Mar-2020
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