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Synthesis and evaluation of linear motion transitions

ACM Transactions on Graphics · 2008 · Vol. 27(1) · pp. 1–15
Jing WangBobby Bodenheimer

Abstract

This article develops methods for determining visually appealing motion transitions using linear blending. Motion transitions are segues between two sequences of animation, and are important components for generating compelling animation streams in virtual environments and computer games. Methods involving linear blending are studied because of their efficiency, computational speed, and widespread use. Two methods of transition specification are detailed, center-aligned and start-end transitions. First, we compute a set of optimal weights for an underlying cost metric used to determine the transition points. We then evaluate the optimally weighted cost metric for generalizability, appeal, and robustness through a cross-validation and user study. Next, we develop methods for computing visually appealing blend lengths for two broad categories of motion. We empirically evaluate these results through user studies. Finally, we assess the importance of these techniques by determining the minimum sensitivity of viewers to transition durations, the just noticeable difference, for both center-aligned and start-end specifications.

Human Motion and AnimationVideo Analysis and SummarizationHuman Pose and Action RecognitionComputer scienceRobustness (evolution)Generalizability theoryAnimationMetric (unit)Motion (physics)Linear programmingAlgorithmComputer graphics (images)Computer vision

Funding

  • National Science Foundation
  • Division of Information and Intelligent Systems
Citations
1,529
FWCI
460.04
field-weighted impact
References
59
Percentile
100%
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Citations per year
References
Nonparametrics: Statistical Methods Based on Ranks
Technometrics · 1979 · 3,371 citations
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