Development of a 3D Body Database to Improve Measures of Perceptual Male Body Image Distortion. SM Mohamed, N Maalin, RS Kramer, A Irvine, PL Cornelissen, KL Ritchie, MJ Tovee.

Date: October 2019.
Source: 3DBODY.TECH 2019 – 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland.
Abstract: There are important limitations in the current methodological stimuli being used in perceptual body image research among men, including a reliance on unrealistic images, a lack of biometric validity, and little consideration of the sexual dimorphism of human body composition. This research seeks to address this critical ‘stimulus problem’ through the development of a large database of 3D body scans and body composition measurements. The aim of this study is to investigate the relationship between body shape and composition, as well as how this varies within distinct body mass index (BMI) categories. Over 170 adult males have been recruited through staff and students at the University of Lincoln and from the general population. Principal component analysis and partial least squares regression are being used to characterise the statistical mapping between 3D male body shape changes and body composition. These statistical models will then allow for the development of a range of photorealistic, biometrically accurate, calibrated 3D male avatars, with future applications in both healthcare and research contexts.

Article: Development of a 3D Body Database to Improve Measures of Perceptual Male Body Image Distortion.
Authors: Sophie M MOHAMED, Nadia MAALIN, Robin S KRAMER, Andrew IRVINE, Piers L CORNELISSEN, Kay L RITCHIE and Martin J TOVÉE. School of Psychology, University of Lincoln, Lincoln, England | School of Psychology, Northumbria University, Newcastle Upon Tyne, England.