To accurately detect the dynamic pose feature points of virtual digital characters and reduce the computational errors of motion capture data,a virtual digital character motion capture technology based on multi-feature fusion is proposed.Using the action minimization function to calculate the posture of a person's actions,introducing scale space vectors to detect the dynamic posture feature points of the human body,and combining the human motion model to track the person's actions.Based on this,a multi fusion feature algorithm is used to calculate the feature quantity of action capture,and the calculation results are matched with the action trajectory template to complete the capture of character actions.The experimental results show that the error between the action capture data measured by the proposed method and the actual data is small,and the capture accuracy is high.
关键词
多特征融合/虚拟数字人物/动作捕捉/动捕精度
Key words
multi-feature fusion/virtual digital characters/motion capture/dynamic capture accuracy
维普
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