CAJ | 학술논문

提出了一种基于 RBF 的时序缺失数据修复方法，利用 RBF 构建模板数据和当前存在缺失的数据之间的训练关系，并通过该训练关系修复缺失数据。实验表明，该方法能够应用于刚性体以及非刚形体运动或形变追踪，是一种有效的时序缺失数据修复方法。
제출료일충기우 RBF 적시서결실수거수복방법，이용 RBF 구건모판수거화당전존재결실적수거지간적훈련관계，병통과해훈련관계수복결실수거。실험표명，해방법능구응용우강성체이급비강형체운동혹형변추종，시일충유효적시서결실수거수복방법。
The paper proposed a RBF - based missing data restoration for temporal data , and the RBF is used to build the training relationship between the template data and the current data with missing data . With the training and the training relationship ,the missing data was then restored .Experiments prove that the method can be applied to tracking the rigid body and non-rigid body movement or deformation ,is an effective temporal missing data restoration method .