Human body motion capture method and device based on IK algorithm, medium and equipment
A technology of human motion and algorithm, applied in the field of virtual reality, can solve the problems of restricting the development of the industry, restricting the user experience, and lack of synchronization of body posture.
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Embodiment 1
[0042] figure 1 It is a flow chart of the human body motion capture method based on the IK algorithm provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of human body motion capture based on the IK algorithm. The human body motion capture device can be implemented, and the device can be implemented by software and / or hardware, and can be integrated into electronic equipment such as a human body tracking system for virtual reality.
[0043] like figure 1 Shown, described human motion capture method based on IK algorithm comprises:
[0044] S110. Obtain the target marker point of the user in the initial pose, determine the serial number and joint type of the target marker point, and save the initial pose model.
[0045] Wherein, the user's initial posture may be a T-shaped posture with both arms raised flat, and in this posture, it is helpful to determine the marking points on each joint position of the user. The target marker poi...
Embodiment approach
[0071] In order to allow those skilled in the art to understand the solution more clearly, the application also provides specific preferred implementations as follows:
[0072] figure 2 It is a schematic diagram of the human body motion capture process based on the IK algorithm provided by Embodiment 1 of the present invention. like figure 2 Shown, the present invention process mainly comprises the following steps:
[0073] Obtain user images through n tracking cameras;
[0074] Get a synchronized image dataset;
[0075] Determine whether the camera has been calibrated successfully, if it has been calibrated, proceed to the following steps, if not, perform camera calibration of n tracking cameras;
[0076] Use Kalman filter to predict the position P of the current frame for the marker in the previous frame image;
[0077] The estimated position P is back-projected to all cameras, and the corresponding image points p1, p2, ..., pn are found;
[0078] Traverse all marker...
Embodiment 2
[0111] image 3 It is a schematic structural diagram of the human body motion capture device based on the IK algorithm provided by Embodiment 2 of the present invention. like image 3 As shown, the human motion capture device based on the IK algorithm includes:
[0112] The target marker point determination module 310 is used to obtain the target marker point of the user under the initial posture, determine the sequence number and joint type of the target marker point, and save the initial posture model;
[0113] The position prediction module 320 is used to track the image information captured in real time, and predict the position of the target mark point in the current frame image according to the position of the target mark point in the previous frame image;
[0114] The missing mark point correction module 330 is used for if there is a target mark point loss in the current frame image, the IK algorithm is used to calculate the lost target mark point in the predicted cur...
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