基于潜在语义分析的形态美度综合评价方法
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摘要
为了快速准确地评估出形态的美观满意程度,运用潜在语义分析法建立了形态美度综合评价方法.首先构造形态美度指标体系,建立美度评价矩阵;然后选用部分样本,经奇异值分解建立形态美度潜在语义空间;最后对语义空间降维,以样本理想美度值为目标,进行新样本形态美度综合评价.以动物脸部图案的美度综合评价为例,经实际调研对比验证,表明该方法能简单、客观、比较准确地进行形态美度的综合评价.
In order to evaluate the satisfaction degree of form aesthetic quickly and accurately,a comprehensive evaluation method of form aesthetic degree was established based on latent semantic analysis.Firstly,the index system of aesthetic degree was constructed and its evaluation matrix was set up.And then some samples were selected to establish the potential semantic space by means of singular value decomposition.Finally,the dimension of semantic space was reduced,and the new samples were comprehensively evaluated when the value of ideal aesthetic degree of the sample was taken as an objective.The animal face pattern was taken as an example for the comprehensive evaluation of aesthetic degree and it was shown by practical investigation,comparison,and verification that this method would be a simple,objective and more accurate and could be applied to comprehensive evaluation of form aesthetic degree.
In order to evaluate the satisfaction degree of form aesthetic quickly and accurately,a comprehensive evaluation method of form aesthetic degree was established based on latent semantic analysis.Firstly,the index system of aesthetic degree was constructed and its evaluation matrix was set up.And then some samples were selected to establish the potential semantic space by means of singular value decomposition.Finally,the dimension of semantic space was reduced,and the new samples were comprehensively evaluated when the value of ideal aesthetic degree of the sample was taken as an objective.The animal face pattern was taken as an example for the comprehensive evaluation of aesthetic degree and it was shown by practical investigation,comparison,and verification that this method would be a simple,objective and more accurate and could be applied to comprehensive evaluation of form aesthetic degree.
引文
[1]NAGAMACHI M.Kansei engineering as a powerful consumeroriented technology for product development[J].Applied Ergonomics,2002,33(3):289-294.
[2]VIEIRA J,OSORIO J M A,MOUTA S,et al.Kansei engineering as a tool for the design of in-vehicle rubber keypads[J].Applied Ergonomics,2017,61:1-11.
[3]罗仕鉴,李文杰,傅业焘.消费者偏好驱动的SUV产品族侧面外形基因设计[J].机械工程学报,2016,52(2):173-181.
[4]张书涛,苏建宁,胡赤兵,等.基于广义遗传算法的设计师认知思维模型[J].兰州理工大学学报,2014,40(4):36-39.
[5]SCHENKMAN B N,JONSSON F U.Aesthetics and perferences of web pages[J].Behaviour and Information Technology,2000,19(5):367-377.
[6]TALIA L,NOAM T.Assessing dimensions of perceived visual aesthetics of web sites[J].International Journal of HumanComputer Studies,2004,60(3):269-298.
[7]周蕾,薛澄岐,汤文成,等.界面元素布局设计的美度评价方法[J].计算机辅助设计与图形学学报,2013,25(5):758-766.
[8]王玉新,王永山,金玲.基于美学特征的参数化产品外形设计及其美学评价[J].计算机辅助设计与图形学学报,2007,19(11):1447-1453.
[9]盖杰,王怡,武港山.潜在语义分析理论及其应用[J].计算机应用研究,2004(3):9-12,20.
[10]刘云峰,齐欢,代建民.潜在语义分析在中文信息处理中的应用[J].计算机工程与应用,2005(3):91-93.
[11]刘征宏,谢庆生,李少波,等.基于潜在语义分析和感性工学的用户需求匹配[J].浙江大学学报(工学版),2016,50(2):224-233.
[12]赵仲秋,季海峰,高隽,等.基于稀疏编码多尺度空间潜在语义分析的图像分类[J].计算机学报,2014,37(6):1251-1260.
[13]林江豪,周咏梅,阳爱民,等.基于概率潜在语义分析的群体情绪演进分析[J].计算机应用,2015,35(10):2747-2751,2756.
[14]苏建宁,李明,周爱民,等.产品形态美度评价模型[J].兰州理工大学学报,2018,44(2):42-47.
[2]VIEIRA J,OSORIO J M A,MOUTA S,et al.Kansei engineering as a tool for the design of in-vehicle rubber keypads[J].Applied Ergonomics,2017,61:1-11.
[3]罗仕鉴,李文杰,傅业焘.消费者偏好驱动的SUV产品族侧面外形基因设计[J].机械工程学报,2016,52(2):173-181.
[4]张书涛,苏建宁,胡赤兵,等.基于广义遗传算法的设计师认知思维模型[J].兰州理工大学学报,2014,40(4):36-39.
[5]SCHENKMAN B N,JONSSON F U.Aesthetics and perferences of web pages[J].Behaviour and Information Technology,2000,19(5):367-377.
[6]TALIA L,NOAM T.Assessing dimensions of perceived visual aesthetics of web sites[J].International Journal of HumanComputer Studies,2004,60(3):269-298.
[7]周蕾,薛澄岐,汤文成,等.界面元素布局设计的美度评价方法[J].计算机辅助设计与图形学学报,2013,25(5):758-766.
[8]王玉新,王永山,金玲.基于美学特征的参数化产品外形设计及其美学评价[J].计算机辅助设计与图形学学报,2007,19(11):1447-1453.
[9]盖杰,王怡,武港山.潜在语义分析理论及其应用[J].计算机应用研究,2004(3):9-12,20.
[10]刘云峰,齐欢,代建民.潜在语义分析在中文信息处理中的应用[J].计算机工程与应用,2005(3):91-93.
[11]刘征宏,谢庆生,李少波,等.基于潜在语义分析和感性工学的用户需求匹配[J].浙江大学学报(工学版),2016,50(2):224-233.
[12]赵仲秋,季海峰,高隽,等.基于稀疏编码多尺度空间潜在语义分析的图像分类[J].计算机学报,2014,37(6):1251-1260.
[13]林江豪,周咏梅,阳爱民,等.基于概率潜在语义分析的群体情绪演进分析[J].计算机应用,2015,35(10):2747-2751,2756.
[14]苏建宁,李明,周爱民,等.产品形态美度评价模型[J].兰州理工大学学报,2018,44(2):42-47.