Volumeter: 3D human body parameters measurement with a single Kinect

Abstract

3D human body parameters measurement is a challenging task due to two main reasons: (i) it is difficult 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.

Keywords

• voxel truncated signed distance function values
• human body perimeter measurement
• human body volume measurement
• piecewise strategy
• nonrigid constraints
• model-model iterative closest point