采用模糊规则的人体点云特征尺寸识别与提取

摘要

In order to recognize and extract feature dimensions automatically from point clouds of human body, a new method based on fuzzy rules is proposed. First, point clouds direction is adjusted to X-axis according to the width of the points projected to the knee plane. Second, a plane moved along Z-axis with variable steps to search the human body clouds. At the mean time, feature points positions are recognized by the fuzzy rules based on the changed parabola membership function and coordinate value comparison rules. Finally, critical feature dimensions are calculated by Z-coordinate difference method and intersection contour perimeter methods. Experimental results show that the proposed methods are feasible and reliable in practice.%为解决人体点云模型的特征尺寸自动识别和提取难的问题,提出一种基于模糊规则的人体关键尺寸提取的方法.首先根据膝盖处投影点云的宽度特点对点云进行规范化处理,使点云朝向X轴正方向；再应用截面法变步长搜索人体点云,并采用基于改进的降抛物线型隶属函数的模糊规则和坐标值比较法来判断人体特征点的位置；最后利用Z坐标差值法和相交轮廓周长法来计算人体测量学中的关键尺寸.实验结果表明,该方法是可行和可靠的.