Shoulder and neck size measurement method and system, storage medium and electronic equipment

Abstract

The invention provides a shoulder and neck size measurement method and system, a storage medium and electronic equipment. The method comprises the following steps: acquiring a front contour map and aside contour map of a figure; positioning front neck feature points in the front contour map by using a maximum distance method, and positioning side neck feature points in the side contour map by using an angle method; calculating a front neck length and a side neck length according to the front neck feature points and the side neck feature points respectively; and taking the feature informationof the user, the front neck length and the side neck length as input parameters, and generating neck circumference data through a neural network model. According to the invention, a new positioning algorithm is provided for human body shoulders and necks, and the accuracy of human body feature point positioning is improved.

Description

technical field [0001] The invention relates to the field of human body size measurement, in particular to a method, system, storage medium and electronic equipment for measuring shoulder and neck size. Background technique [0002] With the rapid development of modern information technology, the application of virtual reality technology is becoming more and more common in reality. In the clothing industry, such as human body modeling, online virtual fittings based on human body models have also appeared in people's lives. The accuracy of human body feature point positioning directly affects the characteristic parameters of the human body, and the measurement of human body parameters It is the core technology for studying human body shape. [0003] At present, human body feature points are usually located by scanning line detection or template traversal method, but because some human body feature points have unique characteristics, such as neck feature points, the one obtai...

AI Technical Summary

Problems solved by technology

[0003] At present, human body feature points are usually located by scanning line detection or template traversal method, but because some human body feature points have unique characteristics, such as neck feature points, the one obtained by scanning line detection is the shortest horizontal distance of the human neck. Neck feature points, but in the measurement standard, the measurement of the neck circumference has an inclination of 25 to 30°, so the collar circumference error obtained based on the neck feature points obtained by the above scan line detection is relatively large

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