基于机器视觉的曲面枕个性化定制方法  

Personalized customization of curved surface pillows based on machine vision

作　　者：葛苏敏 林瑞冰 徐平华 吴思熠 罗芊芊 GE Sumin;LIN Ruibing;XU Pinghua;WU Siyi;LUO Qianqian(School of Fashion Design&Engineering,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China;Digital Intelligence Style and Creative Design Research Center,Key Research Center of Philosophy and Social Sciences,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China;Key Laboratory of Silk Culture Inheriting and Products Design Digital Technology,Ministry of Culture and Tourism,Hangzhou,Zhejiang 310018,China)

机构地区：[1]浙江理工大学服装学院,浙江杭州310018 [2]浙江省哲学社会科学重点培育研究基地浙江理工大学数智风格与创意设计研究中心,浙江杭州310018 [3]丝绸文化传承与产品设计数字化技术文化和旅游部重点实验室,浙江杭州310018

出　　处：《纺织学报》2024年第2期214-220,共7页Journal of Textile Research

基　　金：浙江省哲学社会科学规划交叉学科课题资助项目(24LMJX09YB);浙江省高校重大人文社科攻关计划项目(2023QN092);浙江省研究生教育学会科研项目(2023-012);浙江省大学生科技创新活动计划暨新苗人才计划项目(2023R406072);国家级大学生创新创业训练计划项目(202310338047,202210338019)。

摘　　要：为有效扩展曲面枕个体适应性,满足大规模个性化定制需求,提出了基于机器视觉的曲面枕个性化定制方法。采用MINet显著性目标检测实现人像的自动分割与轮廓提取。在此基础上,对人像中的4个关键参考点、32个特征点进行提取,实现轮廓曲线的快速拟合与尺寸测量,以此方式构建头部样本数据集。通过数据聚类,将65个样本划分成12类,使用三维建模软件绘制出适合个体头、颈、肩部尺寸需求,满足仰、侧睡姿需求的曲面枕。实验得到12种曲面枕关键尺寸参数,包括侧卧区域高度、仰卧贴合区域曲线峰值和谷值。该方法进一步扩展了曲面枕形态适应性,为曲面枕定制提供分类方法参考。Objective Curved surface pillows,as innovative bedding products designed to provide comfortable support and promote quality sleep,are characterized by their customization of pillow curvature based on individual features and needs.This customization aims to accommodate the shape of the head and neck,improve sleeping postures,and alleviate pressure from the neck and shoulders.With growing consumer concerns on health,the demands towards personalized customization of curved surface pillows continue to rise.To enhance the adaptability of curved surface pillows and meet the demands for large-scale personalized customization,a method for personalized customization of curved surface pillows based on machine vision is proposed.Method In the experiment,photographs of head,neck,and shoulder areas of participants were captured using a mobile phone.MINet saliency object detection was employed to segment human subjects and extract their contours.4 key reference points and 32 feature points within the human subjects were extracted.Based on this information,contour curves were fitted and dimensions were measured,resulting in the construction of a sample dataset.These data were then imported into the SPSS system for data analysis.The classification and summary function to select variables were used to calculate the mean and variance and to find the relationship between variables for classification.Results In the experiment,65 valid sample datasets were collected to verify the method's discriminative capability.These datasets included measurements of participants'head and neck areas and sleeping posture information.Measurements revealed irregular curves and unevenness in the back of the neck for each individual.The degree of curvature and unevenness varied significantly among participants.However,if a one-person-one-version customization method was to be adopted,there would be problems such as long cycle time and high cost.Therefore,the collected head and neck samples were classified into 12 categories based on the different degre

关 键 词：机器视觉 曲面枕 个性化定制 神经网络 轮廓提取 

分 类 号：TS107.7[轻工技术与工程—纺织工程]