Posture capturing method and device based on virtual reality
A technology of virtual reality and posture, applied in character and pattern recognition, input/output process of data processing, input/output of user/computer interaction, etc., can solve the complex production process of virtual avatar materials, lack of realism, and low precision and other issues to achieve the effect of improving the gesture recognition rate and recognition accuracy, facilitating capture, and enhancing the sense of reality
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[0053] Example one
[0054] figure 1 It is a schematic flowchart of a method for capturing a posture based on virtual reality in an embodiment of the present invention. Such as figure 1 As shown, the embodiment of the present invention provides a virtual reality-based gesture capture method, the method includes:
[0055] Step 110: Obtain first hand posture information.
[0056] Specifically, in order to realize gesture recognition, the first step is to realize finger tracking and recognition based on depth information, which is a key technology to realize non-contact human-computer interaction. The body reconstruction in the embodiments of the present application is further divided into the reconstruction of limbs and hands. In the body reconstruction, infrared optical positioning technology is used, and multiple infrared transmitters are used to cover the indoor positioning space. An optical tracker is placed on the tracked user to receive the infrared signal emitted by the transmitt
Example Embodiment
[0070] Example two
[0071] Based on the same inventive concept as the virtual reality-based gesture capture method in the foregoing embodiment, the present invention also provides a virtual reality-based gesture capture method device, such as figure 2 As shown, the device includes:
[0072] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain first hand posture information;
[0073] The first training unit 12 is configured to input the first hand posture information into a training model, wherein the training model is obtained through training of multiple sets of training data, and the training data in the multiple sets Each set of training data in includes: the first hand posture information and depth image;
[0074] The second obtaining unit 13 is configured to obtain output information of the training model, wherein the output information includes hand region contour information;
[0075] The third obtaining unit 14 is configured to perform offline training
Example Embodiment
[0094] Example three
[0095] Based on the same inventive concept as the virtual reality-based gesture capture method in the foregoing embodiment, the present invention also provides a virtual reality-based gesture capture device, such as image 3 As shown, it includes a memory 304, a processor 302, and a computer program that is stored on the memory 304 and can be run on the processor 302. The processor 302 implements the aforementioned virtual reality-based pose capture method when executing the program. Steps of either method.
[0096] Among them, in image 3 In the bus architecture (represented by the bus 300), the bus 300 can include any number of interconnected buses and bridges. The bus 300 will include one or more processors represented by the processor 302 and various memories represented by the memory 304. The circuits are linked together. The bus 300 may also link various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which
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