Document Type
Conference Proceeding
Publication Date
7-1-2019
Abstract
Anthropometric measurements have been used to assess an individual's body composition, disease risk, and nutritional status. Three-dimensional (3D) optical devices can rapidly acquire body surface scans in the form of a triangular mesh which can then be used to obtain anthropometric measurements such as body volume, limb lengths, and circumferences; however, the meshes provided by some scanners may include missing data patches known as holes. These need to be repaired in order to obtain correct landmark detection and automatic calculation of anthropometric measurements -especially body volume. In this study, we present ScReAM (Scan Reconstruction for Anthropometric Measurements) which is a fully automated geometrical 3D reconstruction approach to find and fill these holes. We compare ScReAM with Alias and MeshFix which are well-known software used for triangular meshing. Evaluations are derived from a sample size of 47 subjects that were scanned by two different 3D optical scanners. Our results validate the accuracy of ScReAM for reconstructing a mesh for volume calculation.
Publication Source (Journal or Book title)
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS
First Page
2752
Last Page
2757
Recommended Citation
Sobhiyeh, S., Dechenaud, M., Dunkel, A., Laborde, M., Kennedy, S., Shepherd, J., Heymsfield, S., & Wolenski, P. (2019). Hole Filling in 3D Scans for Digital Anthropometric Applications. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 2752-2757. https://doi.org/10.1109/EMBC.2019.8856713