基于动作-节拍分析的节奏-动作合成

Tae-Hoon Kim, Sang Il Park, Sung-yong Shin
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引用次数: 214

摘要

类人角色的实时动画是计算机图形学中一个活跃的研究领域。然而,传统的方法几乎没有处理运动的节奏模式,这是处理舞蹈和机车运动等节奏运动所必需的。在本文中,我们提出了一种从未标记的示例运动中合成新运动的新方案,同时保留了它们的节奏模式。我们的方案首先从示例运动中捕获运动节拍,以提取基本运动及其过渡。基于这些数据,我们的方案然后构建一个表示示例运动的运动过渡图。在给定输入声音信号的情况下,通过遍历运动转换图,最终在线合成一个新的运动,该运动与输入声音信号同步,同时满足显式和隐式给出的运动约束。通过实验,我们证明了我们的方案可以有效地产生各种有节奏的运动。
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Rhythmic-motion synthesis based on motion-beat analysis
Real-time animation of human-like characters is an active research area in computer graphics. The conventional approaches have, however, hardly dealt with the rhythmic patterns of motions, which are essential in handling rhythmic motions such as dancing and locomotive motions. In this paper, we present a novel scheme for synthesizing a new motion from unlabelled example motions while preserving their rhythmic pattern. Our scheme first captures the motion beats from the example motions to extract the basic movements and their transitions. Based on those data, our scheme then constructs a movement transition graph that represents the example motions. Given an input sound signal, our scheme finally synthesizes a novel motion in an on-line manner while traversing the motion transition graph, which is synchronized with the input sound signal and also satisfies kinematic constraints given explicitly and implicitly. Through experiments, we have demonstrated that our scheme can effectively produce a variety of rhythmic motions.
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Session details: Modeling and simplification Session details: Points Session details: Shadows Session details: Character animation Session details: Design and depiction
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