运动通过平移，旋转，以及每一个移动对象的局部坐标系统的非一致缩放来实现。
Motion is specified by translations, rotations, and nonuniform scalings of the local coordinate system of each moving object.
本文介绍了一种用于分析具有多峰分布特征的非参数方法-均值平移，并且展示了它在不同应用中的优良的性能。
This thesis introduces a non parametric procedure for the analysis of multimodal data based on mean shift property, and demonstrates its superior performance in various applications.
这是由于系统不再具有垂直于表面方向的平移对称性而产生的非均匀效应。
These are nonuniform effects due to the system no longer having the translational symmetry in the direction perpendicular to the surface.
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