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OPTICAL MOTION CAPTURING WITH FILL-IN OF MISSING MARKER POINTS USING A HUMAN MODEL DERIVED FROM PRINCIPAL COMPONENT ANALYSIS

机译:利用基于主成分分析的人类模型,对缺失的标记点进行填充的光学运动捕捉

摘要

A system and method for cleaning a set of motion capture data, wherein the data correspond to a set of point coordinates relating to a model but may include missing or inaccurate values. A subset of the motion capture data is identified that corresponds to valid points matching locations of corresponding points of the model, and a best set of model parameters is computed in such a manner as to minimize a norm of the valid points with respect to the model. A complete set of point coordinates is then predicted based on the best set of model parameters and a subsequent set of cleaned motion capture data. Actual points are inserted where validated, and the process is iterated until a specified criterion is met.
机译:一种用于清洁一组运动捕捉数据的系统和方法,其中,所述数据对应于与模型有关的一组点坐标,但是可能包括缺失或不准确的值。识别运动捕捉数据的子集,该子集对应于与模型的相应点的位置匹配的有效点,并且以使得相对于模型的有效点的范数最小的方式计算最佳模型参数集。然后根据最佳模型参数集和随后的一组干净的运动捕捉数据,预测出一套完整的点坐标。将实际点插入经过验证的位置,然后重复该过程,直到满足指定的条件为止。

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