Title :
New human body shape descriptor based on anthropometrics points
Author :
Hamad, Moez ; Thomassey, Sebastien ; Bruniaux, Pascal
Author_Institution :
GEMTEX-ENSAIT, Univ. of Lille - North of France Lille, Lille, France
Abstract :
This paper will focus on the issue of human body dissimilarity detection from 3D bodyscan. A new 3D human body shape descriptor is proposed as well as a global geometric shape analysis of body shape surfaces coupled with anthropometrics points. The aim of this research is then to establish a new methodology of human body morphology shapes detection in order to define the morphotypes of a given population. A computation of the geodesic distributions based on anthropometrics feature points for human torso provides quantitative information about their similarities. The Euclidean distance is the metric used for the comparison of the shape descriptors. The k-means clustering technique is then implemented to define the most relevant morphologies. Our methodology is then evaluated on 3D scan database of 53 female. The study may be attracted for further researchers from several research communities including pattern recognition, computer graphics, computer vision, anthropometry, human morphology, data analysis and mass customization.
Keywords :
anthropometry; data mining; shape recognition; 3D bodyscan; 3D scan database; Euclidean distance; anthropometrics feature; anthropometrics points; anthropometry; computer graphics; computer vision; data analysis; geodesic distributions; global geometric shape analysis; human body dissimilarity detection; human body morphology shapes detection; human body shape descriptor; human morphology; k-means clustering technique; mass customization; morphotypes; pattern recognition; quantitative information; Databases; Morphology; Shape; Sociology; Statistics; Three-dimensional displays; Torso; 3D CAD system; 3D shape descriptor; body scanner; geodesic distributions; pattern recognition;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of
Conference_Location :
Tunis
DOI :
10.1109/SOCPAR.2014.7008018