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

Content Provider	IET Digital Library
Author	He, Qinzhu Ji, Yijun Zeng, Dan Zhang, Zhijiang
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.
Starting Page	553
Ending Page	561
Page Count	9
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 4, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0403
Journal	IET Computer Vision
Publisher Date	2018-01-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Human Body Parameters Measurement 3D Human Model Computer Vision And Image Processing Technique Graphics Technique Human Body Perimeter Measurement Human Body Volume Measurement Image Capture Image Capturing Process Interactive Device Interactive-Input Device KinectFusion Framework Mapping Algorithm Model-model Iterative Closest Point Nonrigid Body Flexible Deformation Nonrigid Constraint Object Tracking Optical, Image And Video Signal Processing Piecewise Strategy Piecewise Tracking Single Kinect Solid Modelling Volume Measurement Volumeter Voxel Truncated Signed Distance Function Value
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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