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Optimized keyframe extraction for 3D character animations
Author(s) -
Jin Chao,
Fevens Thomas,
Mudur Sudhir
Publication year - 2012
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1471
Subject(s) - computer science , animation , embedding , character animation , character (mathematics) , skeletal animation , artificial intelligence , dimension (graph theory) , computer animation , carry (investment) , computer vision , computer graphics (images) , computer facial animation , geometry , mathematics , finance , pure mathematics , economics
In this paper, we propose a new method to automatically extract keyframes from animation sequences. Our method can be applied equally to both skeletal and mesh animations. It uses animation saliency computed on the original data to help select the group of keyframes that can reconstruct the input animation with less perception error. For computational efficiency, we perform nonlinear dimension reduction using locally linear embedding and then carry out the optimal search in much lower‐dimensional space. With this approach, reconstruction of the animation from the extracted keyframes shows much better results as compared with earlier approaches. Copyright © 2012 John Wiley & Sons, Ltd.