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Key Probe: a technique for animation keyframe extraction

机译:关键探针:一种动画关键帧提取技术

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摘要

We present a novel Constraint-based keyframe extraction technique, Key Probe. Based on animator-specified constraints, the method converts a skeleton-based motion or animated mesh to a keyframe-based representation. In contrast to previous curve simplification or clustering methods, we cast the keyframe extraction problem as a constrained matrix factorization problem and solve the problem based on the least-squares optimization technique. The extracted keyframes have two uses: they could be used for browsing or they may be blended to reconstruct all other frames of an animation. Our approach is general and suitable for both rigid-body and soft-body animations. Experiments on various types of animation examples show that the proposed method produces remarkable results in terms of quality and compression ratio. Empirical tests also show that our algorithm consistently offers better efficiency than those by principal component analysis (PCA) and independent component analysis (ICA).
机译:我们提出了一种新颖的基于约束的关键帧提取技术,即Key Probe。基于动画师指定的约束,该方法将基于骨骼的运动或动画网格转换为基于关键帧的表示。与以前的曲线简化或聚类方法相比,我们将关键帧提取问题转换为约束矩阵分解问题,并基于最小二乘优化技术解决了该问题。提取的关键帧有两个用途:它们可以用于浏览,也可以混合使用以重建动画的所有其他帧。我们的方法是通用的,适用于刚体动画和柔体动画。对各种类型动画实例的实验表明,该方法在质量和压缩率方面均取得了显着效果。经验测试还表明,与主成分分析(PCA)和独立成分分析(ICA)相比,我们的算法始终提供更高的效率。

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