摘要： To solve the problem that the motion capture data has a large number of data redundancy,this paper proposes
a key frame extraction method based on inter-frame pitch. In order to compress,storage,reconstruct and further reuse motion data,key-frame is needed to be extracted which represents the content of the motion. Quaternion is introduced to represent the difference between two rotations. The distance between two frames is defined by the total rotation differences and first frame is regarded as the first key frame. Then,calculate the difference between the current frame and the last key frame continuously. The frame is eliminated when the difference is smaller than the set threshold or the opposite is reserved for the new key frame. Spherical linear interpolation is used to reconstruct the sequence. To express the characteristics of human motion,the joint velocity is introduced. Reconstruction error is defined by the human body posture error of position and the motion speed error between the original frame and the reconstructed frame. Experimental resultdemonstrates that the original motion capture can be compressed in a high ratio and gives a good visual summary erformance.
关键词:
motion capture,
key-frame extraction,
inter-frame gap,
spherical linear interpolation,
reconstruction error,
visual summary performance
Abstract: To solve the problem that the motion capture data has a large number of data redundancy,this paper proposes
a key frame extraction method based on inter-frame pitch. In order to compress,storage,reconstruct and further reuse motion data,key-frame is needed to be extracted which represents the content of the motion. Quaternion is introduced to represent the difference between two rotations. The distance between two frames is defined by the total rotation differences and first frame is regarded as the first key frame. Then,calculate the difference between the current frame and the last key frame continuously. The frame is eliminated when the difference is smaller than the set threshold or the opposite is reserved for the new key frame. Spherical linear interpolation is used to reconstruct the sequence. To express the characteristics of human motion,the joint velocity is introduced. Reconstruction error is defined by the human body posture error of position and the motion speed error between the original frame and the reconstructed frame. Experimental resultdemonstrates that the original motion capture can be compressed in a high ratio and gives a good visual summary performance.
Key words:
motion capture,
key-frame extraction,
inter-frame gap,
spherical linear interpolation,
reconstruction error,
visual summary performance
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