Three-dimensional human body movement data dividing method
A human motion and data segmentation technology, which is applied in image data processing, image data processing, instruments, etc., can solve the problems of time-consuming establishment, difficult application, and great impact on the training data of segmentation results, achieving low computational complexity, The effect of high degree of automation and high computational efficiency
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Embodiment 1
[0103] As shown in Figure 5, an example of performing ISOMAP dimensionality reduction and precise segmentation on a three-dimensional motion sequence containing two human behaviors is given. Below in conjunction with the method of the present invention describe in detail the concrete steps that this example implements, as follows:
[0104] (1) Obtain a 3D human animation sequence generated by an optical motion capture system or professional animation production software. The data in this example comes from an optical motion capture system (TRC data format), including two behaviors of normal walking and sideways walking ways, and there is a natural transition between them;
[0105] (2) with the original motion data of TRC format captured in step (1) as input, adopt existing motion data conversion method that TRC data is converted into the rotation data representation format that meets the definition of the present invention with 16 articulation points and The translation and r...
Embodiment 2
[0110] As shown in Figure 6, the result of segmenting a three-dimensional motion sequence containing various human behaviors is given. Below in conjunction with the method of the present invention describe in detail the concrete steps that this example implements, as follows:
[0111] (1) This example uses the optical motion capture system to obtain an original 3D human motion sequence in TRC format, including a variety of behaviors, such as walking, walking sideways, mopping the floor, walking, squatting down to beat the ground, squatting down to scrub the ground, 8 kinds of behaviors, such as standing and scrubbing windows, walking, etc., and there is a natural transition between the behaviors;
[0112] (2) with the original motion data of TRC format captured in step (1) as input, adopt existing motion data conversion method that TRC data is converted into the rotation data representation format that meets the definition of the present invention with 16 articulation points a...
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