期刊文献+

实时人体运动风格传输算法 被引量:1

Algorithm for Real-time Style Transfer for Human Motion
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摘要 运动捕获技术已经成为计算机动画创作的重要技术。由于运动捕获的成本较高,学者们将研究的重点放在如何对捕获到的运动数据进行编辑,以及如何对现有的运动数据库进行有效的合成上。相对于运动编辑和运动合成的研究而言,运动风格的研究相对较少。通过将运动风格传输问题表达为对运动统计量的概率分布的传输问题,提出了一个实时、方便的人体运动风格传输算法。实验结果表明,该算法具有快速、高效、占用内存低、使用方便的优点,能够广泛应用于计算机动画,游戏和数字电影制作中。 Motion capture has become a very important technique in computer animation. Because of the high cost of motion data, researchers have focused their research work on how to edit the captured motion data, and how to efficiently synthesize the new motions based on available motion database. Comparing to existing research work on motion editing and synthesis, relatively few work was done on motion style editing. The problem of motion style transfer was expressed as a problem of motion statistic transfer, and a fast and convenient algorithm for human-motion style transfe was proposed. Experiment re- sults demonstrate that the approach has the advantages of fast execution, low memory occupation, and easy implementation. The proposed algorithm can be widely applied to computer animation, game and digital film production.
出处 《系统仿真学报》 CAS CSCD 北大核心 2006年第z1期393-395,399,共4页 Journal of System Simulation
基金 国家自然科学基金资助项目(60373070 60573147)
关键词 运动编辑 运动风格 风格传输 统计模型 motion editing motion style style transfer statistic model
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参考文献9

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同被引文献34

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