基于模糊综合评判的虚拟模特匹配算法  

Algorithm for creating virtual human based on fuzzy comprehensive evaluation

作　　者：周莉莉[1] 陈善峰[2] 李仁旺[1] 刘海霞[1] 应卫平[3] 

机构地区：[1]浙江理工大学企业信息化工程技术中心,浙江杭州310018 [2]山东理工大学轻工学院,山东淄博255049 [3]浙江科技学院信息与电子工程学院,浙江杭州310023

出　　处：《纺织学报》2007年第9期118-121,共4页Journal of Textile Research

基　　金：国家自然科学基金资助项目(50675208);浙江省自然科学基金资助项目(Y605187)

摘　　要：针对协同产品商务环境下的服装个性化定制问题,现有的设备和技术手段不适用基于网络的远程真人试衣系统。为了获得与顾客真实体形最接近的人体模特,结合模糊理论和数理统计理论,在模型库存在的基础上用模糊综合评判法,根据客户提供的身体数据,评判出身体重要部位尺寸的评判值,即各尺寸对体形近似度的关系值,通过方差最小理论选取顾客个性化模特。同时用实例验证了该方法的有效性,在虚拟世界中获得了近似真人的虚拟模特。Remote really fitting based on web is a key problem for costume customization of CPC （collaborative product commerce）, which has been pursued by more and more garment enterprises. However, current equipment and technique are not able to solve it. Therefore, based on existing model-base, here fuzzy comprehensive evaluation method is used to analyze all kinds of important body parameters through combining the fuzzy and mathematical static theory. That is to say, customization model should be selected according to the smallest variance related to the body data provided by customer. Finally, this matching algorithm is illustrated through obtained wonderful virtual model.

关 键 词：数理统计 模糊综合评判法 虚拟模特 匹配算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]