A new parametric 3D human body modeling approach by using key position labeling and body parts segmentation

Abstract

The current three-dimensional human models used in the apparel industry are mostly rigid and lack semantic information on body positions and body parts. Therefore, it is difficult for designers to make accurate, fast and effective designs from these models. This paper proposes a new parametric three-dimensional human body model based on key position labeling and optimized body parts segmentation. First, by using experts’ professional knowledge, we manually realize accurate human body data measurements as well as their interpretation and classification, and extract relevant human body features. After deep analysis, measured data irrelevant to body shape have been excluded by designers. Furthermore, the relation between body shapes and body features have been modeled. Second, based on this relational model, we label key positions on the corresponding three-dimensional body model obtained by scanning and segmenting the whole three-dimensional human body into semantically interpretable body parts. In this way, two databases have been created, enabling us to identify features of all segmented body parts, whose combination corresponds to the whole body shape. Third, for a specific consumer, his/her personalized three-dimensional human model can be obtained by taking a very few number of body measurements on himself/herself, making an appropriate combination of the identified body parts, and adjusting parameters of all involved body parts. By comparing the proposed labeled and segmented three-dimensional human model and the existing human models through a number of experiments, the proposed model leads to more relevant results with high accuracy and high visual quality related to real human body shapes.

Status of research on parametric methods for the reconstruction of 3D models of the human body for virtual fitting

“…The reconstruction of the model of the human body based on a single image generally requires images of high quality because they contain information on only the focal length, texture and shading of the image. The contours of the human body are typically used as a constraint to solve the problem of reconstruction in this case (Bao et al, 2021;Chi et al, 2022).…”

“…The contours of the human body are typically used as a constraint to solve the problem of reconstruction in this case (Bao et al. , 2021; Chi et al. , 2022).…”

Classification of female body shape based on two-dimensional image and computer vision technology

“…12 There are still many interesting classification methods for human body shape in the clothing industry, such as South Korean scholars Kim and Nam, 13 who divided the human body into 16 types by the waist and hip curve to study the fit evaluation of slacks. Chi et al 14 segmented the human body into different areas and classified them respectively to verify the accuracy of human body modeling.…”

“…Chi et al. 14 segmented the human body into different areas and classified them respectively to verify the accuracy of human body modeling.…”