摘要
为了解决头部可穿戴产品网络个性化定制设计时,数据传输速度慢、消费者头部数据获取困难、数据不准确等难题,根据人体头部特征,确定了23个用户可准确定位的特征点;依据特征点将头部三维模型分割成不同截面,提取截面的轮廓曲线,将该曲线分为三类;利用带有自由参数的Hermite插值曲线描述这三类曲线,并用Grasshopper软件建立参数化头部模型;利用带贴片的用户正交照片,计算得到用户的头部数据,并修改Grasshopper程序参数,获得用户的头部三维参数化模型。通过对3个志愿者拍摄照片验证,该方法可有效的应用于面向网络的头部可穿戴产品个性化定制设计。
In order to solve the problems of slow data transmission,difficulty in obtaining consumer head data,and obtained inaccurate data in the personalized custom design of the head wearable product network.According to the head features,23 feature points was founded which could been found accurately in users themselves head.According to the feature points,the 3D model for the head is divided into different sections,and the contour curve of the section is extracted and the curve is divided into three types.The Hermite interpolation curve with free parameters is used to describe these three kinds of curves,and the parameterized head model is established with the Grasshopper software.Using the user′s orthogonal photos with patches,the measurement data of the user head is calculated,and the Grasshopper program parameters are modified to obtain the 3D parameterized model for the user’s head.By taking photos of three volunteers,the results have been achieved.This method can be effectively used in the personalized design of head wearable products network.
作者
白晓波
武凯
胡钢
BAI Xiaobo;WU Kai;HU Gang(School of Art and Design,Xi’an University of Technology,Xi'an 710048,China)
出处
《机械科学与技术》
CSCD
北大核心
2021年第2期230-236,共7页
Mechanical Science and Technology for Aerospace Engineering
基金
陕西省教育厅专项(18JK053)
西安理工大学博士启动基金项目(106-451116005)。