Abstract
In order to better acquire the human body dimension required for clothing size selection or clothing customization, an automatic measurement method of three-dimensional human body dimension based on frontal human body image is proposed. Taking the female body image as the research object, based on the height, weight and frontal body image, the feature points of the image were identified and the two-dimensional feature dimensions were extracted, and then the neural network prediction model based on machine learning training was used to calculate body dimensions. Through error analysis and practical verification, the results showed that the average measurement error of each dimension met the tolerance requirements of clothing production, which indicated that this measurement method could quickly and effectively obtain the human body dimension through the frontal human body image.
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