计算机科学
运动学
集合(抽象数据类型)
启发式
正多边形
背景(考古学)
椭球体
工程制图
插值(计算机图形学)
计算机图形学(图像)
算法
数学
几何学
工程类
动画
程序设计语言
物理
操作系统
古生物学
生物
经典力学
天文
作者
Samuel Velez-Sanin,Juan Camilo Gutierrez-Urrego,Jorge Correa,Carolina Builes-Roldan,Oscar Ruiz-Salguero
出处
期刊:Applied sciences
[Multidisciplinary Digital Publishing Institute]
日期:2022-09-28
卷期号:12 (19): 9742-9742
摘要
In the context of computer-aided apparel-fitting simulation, the problem of generating (a) simulation-inexpensive and (b) tailor-measurement-driven digital mannequins is central. Three-dimensional scanning of human bodies produces high-fidelity datasets. However, this technique does not satisfy conditions (a) and (b) above. In addition, it requires extensive data cleaning and processing. Existing approaches to this problem broadly fall into these mainstreams: (i) biased scaling, interpolation, or morphing of template models; or (ii) bottom-up construction of anatomy (bone medial axis, kinematic joints, muscles, skin, and other layers). Both alternatives imply extensive scanning, application of heuristics, tuning, and storage, among other tasks. Both alternatives produce non-convex datasets that have to be processed further for cloth–body interaction simulation, as physics engines require some type of data convexity for realistic simulations. This manuscript presents a modeling methodology that partially overcomes these limitations by (1) coarsely approximating a template female body with sets of convex volumes (ellipsoids and cushions), (2) building a set of Reference Mannequins for a particular set of extreme and average tailor measurements, and (3) creating sets of functions that synthesize new individuals of digital mannequins as reunions of convex volumes that satisfy specified tailor measurements. These mannequins present a reasonable and realistic demeanor. At the same time, they are shown to be economical at the stage of simulation of garment fitting. Future work is encouraged to define kinematic chains for straightforward pose definition, modeling male bodies, and exploring the behavior of the synthesis functions with more parameters.
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