A Gesture Recognition Method Based on Deep Learning
A technology of deep learning and gesture recognition, which is applied in the field of gesture recognition based on deep learning, can solve the problems of complex algorithms for computing gesture depth information, time-consuming, low recognition rate, etc., to improve system recognition accuracy, save image training time, The effect of improving gesture detection efficiency
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[0022] In order to make the technical solutions and advantages of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:
[0023] Such as figure 1 As shown, a gesture recognition method based on deep learning specifically includes the following steps:
[0024] S1: The median filter method is used to denoise the collected gesture images, and the gray-scale world color balance method is used to eliminate the color shift phenomenon in the gesture images;
[0025] When the median filter method is used to denoise the gesture image, the median filter is used to filter the image, and the red, green, and blue components of the pixel at the midpoint (i, j) of the image are respectively R(i, j) , G(i,j), B(i,j), the window size of the median filter is W 1 ×W 1 , the total number of pixels in this area is W 1 ×W 1 , p...
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