摘要
产品风格被定义为若干特征像素点组成的特征组件风格的加权计算。通过对产品形状特征的矢量化,结合多向度评测(Multi-Dimensional Scaling,MDS)三维产品风格认知空间的规范化描述,构建产品风格推导的数据结构。基于提出的"特征组件形状参数原型方阵—ASPPSM"和"组件风格贡献度方阵—ASCRSM",进一步提出产品风格推导的思想和模型。
Product style is defined as the weighted average index of the style of feature subassemblies which is composed of some feature pixel points.By the vector mean of product shape feature,and using the normalized product style description-the three-dimensional cognitive space based on multi-dimensional scaling(MDS),the data structure fitting product style derivation is put forward.The derivation model of product style is explored deeply on the basis of subassembly shape-para prototype square matrix(SSPPSM) and subassembly style contribution rate square matrix(SSCRSM) which are introduced.
出处
《安徽工业大学学报(自然科学版)》
CAS
2011年第3期250-253,共4页
Journal of Anhui University of Technology(Natural Science)
基金
安徽高等学校省级自然科学研究项目(KJ2011Z036)
国家自然科学基金项目(71071032)
安徽工业大学青年教师科研基金(QZ201011)
关键词
产品风格
数据结构
风格推导
造型设计
product style
date structure
style derivation
shape design