肖 俊,庄越挺,吴 飞.三维人体运动特征可视化与交互式运动分割.软件学报,2008,19(8):1995-2003 |
三维人体运动特征可视化与交互式运动分割 |
Feature Visualization and Interactive Segmentation of 3D Human Motion |
投稿时间:2008-04-18 修订日期:2008-01-08 |
DOI: |
中文关键词: 人体运动数据 可视化 交互式分割 骨骼夹角 |
英文关键词:human motion data visualization interactive segmentation bone angle |
基金项目:Supported by the National Natural Science Foundation of China for Distinguished Young Scholars under Grant No.60525108 (国家杰出青年科学基金); the National Key Technology R&D Program of China under Grant No.2007BAH11B00 (国家科技支撑计划项目); the National High-Tech Research and Development Plan of China under Grant Nos.2006AA010107, 2006AA01Z303 (国家高技术研究发展计划(863)), the Program for Changjiang Scholars and Innovative Research Team in University of China under Grant No.IRT0652 (长江学者和创新团队发展计划) |
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中文摘要: |
为了从运动序列中提取不同类型的运动片段进行人体动画创作,提出一种三维人体运动数据可视化与交互式分割技术.首先,采用人体各主要骨骼夹角作为对原始运动数据的几何特征表示,并提出一种启发式方法自动检测其潜在分割点,最后将提取的运动特征可视化并使用可交互用户界面对其进行精确分割.实验结果表明,该特征表示及交互式分割方法能够更加方便、准确、高效地对包含多种类型的长序列三维人体运动数据进行分割. |
英文摘要: |
In order to get primitive actions for animation production, this paper proposes a visualization and interactive segmentation method for 3D human motion sequences. Firstly, a new feature based on bone angles of human skeleton is used to represent the original motion data. Then a heuristic method is introduced to detect the candidate segmentation points on the feature sequence. Finally, a graphical user interface is created to visualize the candidate segmentation points and pick the precise segmentation points interactively. Experimental results show that this method can divide motion sequence into primitive actions more conveniently, efficiently and precisely. |
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