Open AccessVolumeter: 3D human body parameters measurement with a single Kinect
Author(s) -
He Qinzhu,
Ji Yijun,
Zeng Dan,
Zhang Zhijiang
Publication year - 2018
Publication title -
iet computer vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 37
eISSN - 1751-9640
pISSN - 1751-9632
DOI - 10.1049/iet-cvi.2017.0403
Subject(s) - piecewise , computer vision , artificial intelligence , computer science , rigid body , tracking (education) , visual hull , voxel , silhouette , deformation (meteorology) , human body model , process (computing) , algorithm , mathematics , mathematical analysis , physics , psychology , pedagogy , classical mechanics , meteorology , operating system
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.