| 基于分层曲线简化的运动捕获数据关键帧提取 |
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| 引用本文： | 杨涛,肖俊,吴飞,庄越挺.基于分层曲线简化的运动捕获数据关键帧提取[J].计算机辅助设计与图形学学报,2006,18(11):1691-1697. |
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| 作者姓名： | 杨涛 肖俊 吴飞 庄越挺 |
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| 作者单位： | 浙江大学计算机科学与技术学院人工智能研究所,杭州,310027 |
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| 基金项目： | 国家自然科学基金;国家自然科学基金;国家重点基础研究发展计划(973计划);浙江省科技计划项目重大科技项目;浙江省科技计划项目重大科技项目 |
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| 摘 要： | 引入骨骼夹角作为运动特征,并以此确定候选关键帧;采用分层曲线简化算法精选候选关键帧获得最终关键帧集合;通过对算法参数自适应调节,以满足不同压缩率要求.实验结果表明：该算法具有良好的数据压缩效果及较强的运动概括能力,并在一定程度上保证了同类相似运动间关键帧集合的一致性.
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| 关 键 词： | 关键帧 运动捕获 特征表示 分层曲线简化 |
| 收稿时间： | 2006-03-06 |
| 修稿时间： | 2006年3月6日 |
Extraction of Keyframe of Motion Capture Data Based on Layered Curve Simplification |
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| Yang Tao,Xiao Jun,Wu Fei,Zhuang Yueting.Extraction of Keyframe of Motion Capture Data Based on Layered Curve Simplification[J].Journal of Computer-Aided Design & Computer Graphics,2006,18(11):1691-1697. |
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| Authors: | Yang Tao Xiao Jun Wu Fei Zhuang Yueting |
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| Affiliation: | Institute of Artificial Intelligence, College of Computer Science and Technology, Zhejiang University, Hangzhou 310027 |
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| Abstract: | This paper presents a keyframe extraction method. Angles between bones are introduced as motion's features, and keyframe candidates can be found based on them. Then, the layered curve simplification algorithm will be used to refine those candidates and the keyframe collection can be gained. In addition, an adaptive algorithm parameter is employed to meet different requirements for compression. The experiments demonstrate that the proposed method can not only compress and summarize the motion capture data efficiently, but also keep the consistency of keyframe collections between two sequences of similar motion capture data. |
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| Keywords: | keyframe motion capture feature expression layered curve simplification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
