Modeling 3D human body with a smart vest

A novel human body reconstruction method based on measuring human body feature curves is proposed in this paper. Feature curves reflecting the cross section shape of human body are obtained by reconstructing the shapes of flexible tapes on an easy-to-operate smart vest that is dressed on the user. These tapes are specially marked to make the length of curves and spatial position on each marker perceptible, when the user rotates in front of a binocular stereo system. Taking these perceived geometric information as the input, precise feature curves are computed by solving a constrained optimization function. Individual human model is then generated by mapping the feature curves onto human shape space based on a multilayer neural network. Comparative experiments prove that our approach provides a low-costs way to reconstruct human models with competitive geometric precision (about 8mm point-to-point distance). Our approach can be potentially applied in many human body related product industries. (C) 2018 Elsevier Ltd. All rights reserved.