基于点云模型的人体尺寸提取算法

针对人体尺寸自动提取的问题, 提出一种基于PCL点云库的交互式算法。通过单台Microsoft Kinect 采集人体点云数据, 使用邻域平均法进行去噪预处理; 通过人机交互的方式选取特征点得到所对应的点云轮廓; 采用改进的凸包算法估算人体胸围、腰围、脖围尺寸。实现了全面的非接触式人机交互, 具有操作便捷、速度快的特点。实验结果表明交互式人体尺寸提取方法能够适用于不同人群, 改进的凸包算法能够有效地提高尺寸精度; 提取的人体尺寸满足GB/T 23698-2009的精度要求。

Abstract

For the automatic extraction of human body measures, an interactive algorithm based on PCL point clouds is proposed. The human body information is captured by a single Microsoft Kinect to obtain the point cloud data, and the neighborhood average method is used for denoising. The algorithm is adopted to estimate the human body measures. The method achieves a complete non-contact human-computer interaction, which has the characteristics of convenient operation and fast speed. The experimental results show that not only the algorithm can be applied to different groups of people, but also it improves the dimensional accuracy. The algorithm satisfies the accuracy requirements of GB/T 23698-2009.

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方群, 尚媛园, 郭国栋, 邵珠宏. 基于点云模型的人体尺寸提取算法[J]. 光学技术, 2017, 43(6): 528. FANG Qun, SHANG Yuanyuan, GUO Guodong, SHAO Zhuhong. Extraction of human body measures based on 3D point clouds[J]. Optical Technique, 2017, 43(6): 528.

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