基于关键帧技术的运动捕获数据驱动人体动画,因其捕获的数据具有高度逼真性和实时处理能力使之成为应用广泛的人体动画方法.对现有基于运动捕获数据的3维人体动画关键帧技术进行了系统分析和阐述,介绍了运动捕获数据及其表现形式,从捕获数据的角度分析并比较了基于自适应采样的关键帧提取技术、基于运动速度控制的关键帧插值技术及基于运动特征和运动模型的关键帧检索技术,对3维人体运动关键帧技术中的难点问题及进一步研究方向进行了展望.%The motion capture data with a high degree of fidelity and real-time processing capabilities makes the data-driven human animation based on keyframe technology is used widely. A comprehensive survey on 3D human keyframe technology based on motion capture data is proposed. Firstly, the motion capture and its data format are introduced. Secondly, from the perspective of capture data,keyframe extraction based on self-adaptive sampling, keyframe interpolation based on motion speed controling and keyframe retrieval based on motion characteristics and motion model are analysed and compared. Finally, some problems and future directions of 3D human keyframe technology are discussed.
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