纺织学报 ›› 2017, Vol. 38 ›› Issue (01): 111-115.doi: 10.13475/j.fzxb.20151005006

• 服装工程 • 上一篇    下一篇

体型分析在观测服装号型适应性上的应用

  

  • 收稿日期:2015-10-23 修回日期:2016-08-19 出版日期:2017-01-15 发布日期:2017-01-16

Application of body shape analysis in observation of clothing size adaptability

  • Received:2015-10-23 Revised:2016-08-19 Online:2017-01-15 Published:2017-01-16

摘要:

针对当前国内外缺失观测特定人群的服装号型适应性这一现状,提出以体型分析为基础的服装号型适应性观测方法,通过捕获人体的三维数据,从数据集群中选择服装号型分类变量的主成分,带入我国服装号型标准中进行验证。依据多组K均值聚类分布结果,结合验证后的号型覆盖率和档差关系选取最优K值,观测聚类中心的数值和分布图,描述该样本的服装号型适应性。结果表明:测量对象的差异性对号型分类变量的选取有直接影响,该服装号型适应性观测方法能够得到观测对象的体型发展趋势、服装号型覆盖率和档差调整方案、具体的“号”与“型”对应关系,提高了服装市场调研和生产计划的准确性。

关键词: 体型分析, 服装号型, 适应性, K均值聚类

Abstract:

Considering the situation that effective observation of clothing size in particular groups was absent at home and abroad, observation of clothing size adaptability was proposed based on the body shape analysis. By tracing 3-D data of the human body, principal component of clothing size classification variables were selected from the data cluster and put into the national clothing size standard for validation. According to clustering distribution results of multiple sets of k-means, the optimum K value was selected combining with verified clothing size coverage and variation relationship while the value and distribution of clustering center were observed so as to describe the sample clothing size adaptability. It is demonstrated that the differences between subjects have a direct effect on the selection of size classification variables so that this method can successfully get access to the body shape development trend of subjects, clothing size coverage and variation adjustment scheme as well as the corresponding relationship of size and “shape” so as to improve the accuracy of clothing market research and production plan.

Key words: body shape analysis, clothing size, adaptability, K-means clustering

[1] GB/T 1335.2-2008,服装号型 女子[S]. [2] 李晓久,王玉秀,刘 皓. 非接触式人体测量系统中人体体型分类与自动判别[J]. 天津工业大学学报, 2007, 26(5):34-35. LI Xiao jiu,WANG Yu- xiu,LIU Hao .Classification and identification of body type in non- contacted body measurement system[J]. JOURNAL OF TIANJIN POLYTECHNIC UNIVERSITY, 2007, 26(5):34-35. [3] 刘咏梅,张小雪,郭云昕. 国内外服装用人体数据库调查与分析[J]. 纺织学报, 2015,36(6):143-144. LIU Yongmei, ZHANG Xiaoxue, GUO Yunxin. Survey and analysis on domestic and overseas human body database for garments’ use[J]. Journal of Textile Research, 2015, 36(6):143-144. [4] 方方,王子英. K-means聚类分析在人体体型分类中的应用[J]. 东华大学学报自然科学版, 2014, 40(5):594-598. FANG Fang, WANG Ziying. Application of K-means Clustering Analysis in the Body Shape Classification[J]. JOURNAL OF DONGHUA UNIVERSITY(NATURAL SCIENCE), 2014,40(5):594-598. [5] 邹 平,吴世刚. 东北地区女青年体型及档差的修订[J]. 纺织学报, 2009, 30(11):116-118. ZOU Ping, WU Shigang. Amendment of figure types and grading values of young women in China Northeast area[J]. Journal of Textile Research, 2009, 30(11):116-118. [6] 尹玲,张文斌,徐才国. 基于有序样本最优分割法的女性体型分类[J]. 纺织学报,2014, 39(9):115-119. YIN Ling, ZHANG Wenbin, XU Caiguo. Female body shape classification based on optimal segmentation method for orderly samples[J], Journal of Textile Research, 2014, 39(9):115-119. [7] 谷林,张欣. 基于聚类人体体型分类法的体型反算方法研究[J]. 西安工程大学学报,2010, 24(1):32-34. GU Lin, ZHANG Xin. The algorithm studies of human body’s shape classification based on cluster analysis[J]. Journal of Xi’an Polytechnic University, 2010, 24(1):32-34. [8] 尹玲,夏蕾,许才国. 基于随机森林的女性体型判别[J]. 纺织学报,2014, 35(5):114-116. YIN Ling, XIA Lei, XU Caiguo. Female body shape prediction based on random forest[J]. Journal of Textile Research, 2014, 35(5):114-116. [9] GB/T 23698-20079,三维扫描人体测量方法的一般要求[S]. [10] 朱建宇. K均值算法研究及其应用[D]. 辽宁:大连理工大学, 2013:15-17. ZHU Jianyu. Research and Application of K-means algorithm[D]. Liaoning: DaLian University of Technology, 2013:15-17.

[1] 张宪胜 王然 王锐 晏雄 施楣梧. 基于锥形量热仪的纤维集合体燃烧性能测试方法[J]. 纺织学报, 2017, 38(02): 47-52.
[2] 蔡兰 厉旗 李鹏威 尚笑梅. 基于衬衫部件重构的纸样设计方法[J]. 纺织学报, 2015, 36(08): 116-120.
[3] 王晓霞 戴建国 王春霞 端丹. 青年女性体表角度分析[J]. 纺织学报, 2013, 34(7): 106-110.
[4] 潘力 王军 沙莎 于佐君. 东北地区青年女子体型分类与服装档差研究[J]. 纺织学报, 2013, 34(11): 131-0.
[5] 邹奉元;张苏豫;丁笑君;朱小行. 基于C/S模式的女子体型识别及应用[J]. 纺织学报, 2008, 29(6): 101-104.
[6] 潘如如;高卫东;张星烨. 基于动态聚类的织物疵点识别算法[J]. 纺织学报, 2008, 29(10): 122-126.
[7] 陈建能;赵雄;张国凤;赵匀. 基于改进NSGA-Π算法的新型引纬机构的参数优化[J]. 纺织学报, 2008, 29(1): 110-113.
[8] 王建萍;李月丽;喻芳. 基于择近原则的服装号型数字化归档方法[J]. 纺织学报, 2007, 28(11): 106-110.
[9] 杨子田;张文斌;张渭源. 我国华东地区成年男子体型分析[J]. 纺织学报, 2006, 27(8): 53-56.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!