Image processing method applied to hand jewelry augmented reality system
An augmented reality and image processing technology, applied in image data processing, graphics and image conversion, data processing applications, etc., can solve problems such as complex backgrounds and failures, and achieve the effects of reducing return rates, improving real experience, and reducing capital backlogs
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[0047] 1. Train the model of hand detection
[0048] Some simple methods (such as hand color) are often used to get the outline of the hand. However, if the background of the hand is more complex, if some background colors are similar to the color of the hand, the hand will not be recognized correctly. If supervised learning is used to train a reliable model for hand detection through training data, the recognition rate of hands will be greatly improved. All images in the training data set have a fixed size, here the length of the image is 224, and the width is 224, such as image 3 shown. The training data set consists of two parts: (1) Hand images based on complex backgrounds, and the i-th such image is denoted as X i ; (2) the black-and-white image corresponding to the image (that is, a binary image, the pixels of which only take two values of 0 and 1), the black pixel (pixel value 0) of the black-and-white image is the background, and the white pixel (pixel value 1) ...
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