Volumeter: 3D human body parameters measurement with a single Kinect
Volumeter: 3D human body parameters measurement with a single Kinect
复制标题
DOI：
10.1049/iet-cvi.2017.0403
复制
发表时间：
2018-06-01
影响因子：
1.7
通讯作者：
Zhang, Zhijiang
中科院分区：
文献类型：
--
作者：
He, Qinzhu;Ji, Yijun;Zhang, Zhijiang
3D人体参数测量是一项具有挑战性的任务，主要有两个原因：(i)由于图像捕捉过程中非刚体的柔性变形，难以重建3D人体模型；(ii)3D模型和人体参数之间存在差距。为了解决这两个问题，提出了3D人体参数测量系统。当物体在 Kinect 前自由旋转时，可以计算身体参数。为了减少旋转时身体变形引起的配准误差，提出了一种基于KinectFusion框架的分段跟踪与建图算法。然后引入模型-模型迭代最近点和非刚性约束来优化对齐并消除分段策略中由锯齿引起的不同表面的歧义。最后，提出了一种利用体素截断符号距离函数值测量人体体积和周长的新方法。大量实验结果表明，所提出的方法达到了与现有技术相当的精度，体积和周长测量的误差分别为 2.0% 和 5.8%。
3D human body parameters measurement is a challenging task due to two main reasons: (i) it is dicult to reconstruct 3D human model due to flexible deformation of non-rigid body during images capturing process and (ii) there lies a gap between 3D model and body parameters. To address these two issues, a 3D human body parameters measurement system is represented. With the object freely spinning in front of a Kinect, body parameters are calculated. To reduce registration errors caused by body deformation while rotating, a piecewise tracking and mapping algorithm based on KinectFusion framework is proposed. Then model-model iterative closest point and non-rigid constraints are introduced to optimise alignments and disambiguate different surfaces caused by aliasing in the piecewise strategy. Finally, a novel method is presented to measure the volume and perimeter of human body with the truncated signed distance function values of voxels. Extensive experimental results show that the proposed method achieves comparable accuracy to the state of the arts, and the error of volume and perimeter measurements are 2.0 and 5.8%, respectively.