该算法在低维空间中求解反向运动学问题，并在风格子空间中响应用户输入的风格参数。
To solve this problem, a new low-dimensional motion model that can parameterize motion style precisely is presented in this paper.
同时，在ONPE算法的基础上，利用局部几何信息，提出了一种在低维空间中使用标签传递(lnp)的分类算法——ONPC。
Moreover, utilizing the local geometry during ONPE dimension reduction, a new classification method (ONPC) based on a label propagation method (LNP) is proposed.
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