publication . Conference object . Article . 2009

As-rigid-as-possible image registration for hand-drawn cartoon animations

Daniel Sýkora; John Dingliana; Steven Collins;
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  • Published: 01 Aug 2009
  • Publisher: ACM Press
Abstract
We present a new approach to deformable image registration suitable for articulated images such as hand-drawn cartoon characters and human postures. For such type of data state-of-the-art techniques typically yield undesirable results. We propose a novel geometrically motivated iterative scheme where point movements are decoupled from shape consistency. By combining locally optimal block matching with as-rigid-as-possible shape regularization, our algorithm allows us to register images undergoing large free-form deformations and appearance variations. We demonstrate its practical usability in various challenging tasks performed in the cartoon animation productio...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMethodologies_COMPUTERGRAPHICS
free text keywords: Artificial intelligence, business.industry, business, Computer graphics (images), Retargeting, Computer vision, Cartoon animation, Production pipeline, Image registration, Regularization (mathematics), Computer science, Usability
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