基于机器视觉的人体尺寸识别系统

Human Dimension Recognition System Based on Machine Vision

提出了一种基于机器视觉的人体尺寸识别系统的技术思路,系统将机器终端获取的人体图像信息,利用图像处理技术和人体关键尺寸的生理位置特征,实现人体关键尺寸的识别。该系统中需要获取人体正面的手臂水平图像以及人体侧面图像,2张图像必须在同一相对位置下获取,以保证参考点的一致,在参考被测用户的实际身高下,系统通过计算可实时给出被测用户的颈部、胸部、腰部、臀部等的正侧面宽度,同时给出各对应部分的所在位置。这种模式可以给出用户的基本尺寸信息,从而可以为用户实现模拟试衣等仪器提供软件支持。

The method of human body recognition system based on machine vision was presented. The system obtained 3CCD sensor image information. By using image processing technology and the human body physiology key size, the key dimensions of the human body was identified. In this system two body pictures needed obtain the frontage image with level arm and body side image. These two images must be acquired at the same relative position to ensure the consistent reference. Considering the actual height of the measured users, the side sizes of the measured users＇ neck, chest, waist, hip＇s front and the corresponding portion of the location were gotten by the system. By using this system, the users can obtain the basic dimensions, which can provide software support for the user to achieve the simulation fitting instrument.