Three-dimensional human motion data completing method based on sparse representation
A technology of human body movement and sparse expression, which is applied in the field of data completion, can solve the problems such as the lack of part of the human body mark points, and achieve the effect of fast calculation, stable algorithm, fast and accurate completion
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[0041] It is necessary to perform data completion on the 3D human body running data with repetitive motion and the complex 3D human motion data without repetitive motion. Such as figure 1 Shown is the sparse expression coefficient of a 3D human pose in an over-complete sample dictionary composed of 800 3D human poses, figure 2 , image 3 and Figure 4 It is the performance comparison of this algorithm under the test of repetitive motion human body data, different size sample dictionaries, different missing frame lengths and different missing markers; Figure 5 , Figure 6 and Figure 7 It is the performance comparison result of this algorithm under the test of complex moving human body data, different size sample dictionaries, different missing frame lengths and different missing markers. Below in conjunction with the concrete technical scheme described above illustrate the steps that this example implements, as follows:
[0042] 1) Use the 3D human motion data provided...
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