A hand gesture recognition method, system, device and storage medium
A recognition method and hand technology, applied in the field of artificial intelligence, can solve the problem of low recognition accuracy, and achieve the effect of excellent improvement, reduced workload and excellent network performance.
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[0052] In one embodiment, such as figure 1 As shown, a hand gesture recognition method is provided, the method includes the following steps:
[0053] Step 101, the RGB image of the hand is captured from the RGB camera, the depth image of the hand is captured from the active depth camera, and a hand gesture data set is obtained according to the RGB image and the depth image;
[0054] Step 102, processing the hand posture data set to obtain 3D joint positions, and using the 3D joint positions as a data set to mark the training of the deep neural network model;
[0055] Step 103, extracting the RGB image through a feature extractor based on a deep neural network to obtain a feature map of hand posture;
[0056] Step 104, process the feature map according to the attention mechanism to obtain the global feature map of the hand pose, and use the global feature map to obtain the recognition result of the hand pose.
[0057] Specifically, hand pose estimation from RGB images has been ...
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