Motion belts

Motion belts
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运动腰带

DOI:
10.1145/1278780.1278836
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发表时间:
2007
期刊:
--
影响因子:
--
通讯作者:
M. Nakajima
M. Nakajima
中科院分区:
--
文献类型:
--
作者:
H. Yasuda;Ryota Kaihara;S. Saito;M. Nakajima

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大规模的运动数据库对于计算机动画和人体运动分析都是必不可少的。我们提出了一种新的可视化风格的运动剪辑的轮廓,展开到一个2D条纹的关键帧的运动剪辑。我们叫它运动带。由于条纹的形状因素,运动带适合于同时显示多个运动的轮廓。这使用户能够比较多个剪辑瞬间浏览通过运动数据库。现有的运动轮廓可视化方法提取关键帧并将其放置在3D空间中[Assa等人,2005]。然而,对于没有大运动的长剪辑,例如拳击,可视化导致很大的关键帧云,难以识别每个关键帧的姿势和剪辑中动作的顺序。
Large scale motion databases have became essential for both computer animation and human motion analysis. We propose a novel visualization style of motion clip's outlines that unfolds a motion clip into a 2D stripe of keyframes. We call it a motion belt. Because of the form factor of the stripes, motion belts are suitable to display the outlines of the multiple motions simultaneously. This enables users to compare the multiple clips instantaneously skimming through the motion database. The existing outline visualization methods for motions extract keyframes and place them in a 3D space [Assa et al. 2005]. However, for the long clips without large locomotion, boxing for instance, the visualization results in a large cloud of keyframes that is hard to recognize the posture of each keyframe and the order of the actions in the clip.
DOI: 10.3758/bf03212378
发表时间: 1973-01-01
期刊: PERCEPTION & PSYCHOPHYSICS
影响因子: --
作者:
JOHANSSON, G
通讯作者: JOHANSSON, G