Calls for papers


International Journal of the Digital Human
International Journal of the Digital Human


Special Issue on: "3D Measurement and Modelling Methods for Creating Anthropometric Digital Human Models"

Guest Editors:
Xi’an Jiaotong-Liverpool University, China
Matthew P. Reed, University of Michigan, USA

Recent advances in digital technology have made it easy to digitize the surface of a human body into 3D geometrical data. New anthropometric measurement methods have made it even easier to collect and archive that data, as well as to improve the precision of the data. Consequently, many of the measurement tasks conducted on the human body are now supported by computational methods, which are used to improve the resulting anthropometric digital human models.

Therefore, although scanning methods are continuously being enhanced, it is also important to improve the associated computational methods to improve the resulting anthropometric digital human models and, in particular, to gain novel perspectives for new uses of the 3D body data. These new uses generate new requirements for the 3D scanning methods and, in turn, establish functional roles as scientific tools for the anthropometric measurement methods.

This special issue will present the latest research on methods for measuring and modelling 3D body surface data. As a result, the issue will describe state-of-the-art methods for gathering, processing and analysing 3D body shape data. Researchers are cordially invited to submit their original work on 3D body scanning methods, 3D anthropometric measurement methods and new uses of the 3D body data, such as biomechanics or other new uses of the 3D body data which are related to this special issue.

Subject Coverage
Suitable topics include, but are not limited to, the following:

  • 3D surface scanning methods: lasers, structured lights, IR transducers
  • 3D surface scanning methods for a body in motion
  • Data processing pipelines which improve throughput
  • Automatic landmark identification and dimension extraction methods
  • Statistical methods for analysing 3D body shape data
  • 3D modelling methods
  • Biomechanical analysis methods
  • 3D body data management methods
  • Interdisciplinary studies and new applications for 3D body data
  • High-level and semantic descriptors derived from 3D body data

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 1 November, 2015

Notification to authors: 1 January, 2016

Final versions due by: 1 April, 2016