纺织学报 ›› 2019, Vol. 40 ›› Issue (09): 192-196.doi: 10.13475/j.fzxb.20180908005

• 管理与信息化 • 上一篇    

服饰场景视觉共性认知评价方法

徐平华1,2(), 冒海琳3, 黄琴琴1,2   

  1. 1.浙江理工大学 服装学院, 浙江 杭州 310018
    2.浙江省服装工程技术研究中心, 浙江 杭州 310018
    3.江苏依海服饰有限公司, 江苏 南通 226007
  • 收稿日期:2018-09-29 修回日期:2019-06-05 出版日期:2019-09-15 发布日期:2019-09-23
  • 作者简介:徐平华(1984—),男,讲师,博士。主要研究方向为纺织品服装数字化检测。E-mail: shutexph@163.com
  • 基金资助:
    国家自然科学基金项目(61702460);国家自然科学基金项目(61702461);浙江省服装工程技术研究中心开放基金项目(2018FZKF11);浙江理工大学一流学科优秀博士专项资助项目(2017YBZX15);浙江理工大学科研启动基金项目(17072067-Y)

Common cognitive evaluation method for fashion visual scenes

XU Pinghua1,2(), MAO Hailin3, HUANG Qinqin1,2   

  1. 1. School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    2. Clothing Engineering Research Center of Zhejiang Province, Hangzhou, Zhejiang 310018, China
    3. Jiangsu Yihai Clothing Co., Ltd., Nantong, Jiangsu 226007, China
  • Received:2018-09-29 Revised:2019-06-05 Online:2019-09-15 Published:2019-09-23

摘要:

针对当前眼动仪在评价多用户视觉聚焦差异方面的缺陷,提出一种基于图像融合的共性视觉热区评价方法。实验依据服饰场景类型,共计选取了60幅典型图像,利用RED SMI桌面式眼动仪对7名受试人员进行实时眼动追踪,记录随机播放条件下的受试者观测视觉场景形成的视觉热区图。分别对同一场景21幅视觉热区二值图进行交、并处理,构建共性视觉热区融合图,并提出了视觉漂移度这个关键性指标。结果表明:所提出的综合视觉漂移度指标可有效剔除个体自身误差,以可视化的方式展现受试者共性视觉聚焦程度,适时弥补了当前多用户视觉聚焦认知评价方法的缺陷。

关键词: 服饰, 眼动仪, 共性认知, 个体差异, 视觉热区图

Abstract:

As the eye tracker lacks the common cognitive evaluation for visual scenes of clothing and accessories, a comprehensive evaluation method of visual hot map based on image fusion was proposed. 7 Subjects' eye movements were tracked by desktop eye-tracker, and the hot maps were timely recorded while observing 60 different types of representative fashion images. For each vision scene, binary images of hot maps were intersection and overlay processed, and were formed as a visual luminance map. Besides, the visual drift as a critical indicator was proposed. The results show that the proposed visual cognitive indicator can effectively eliminate individual errors, visually display subjects' common visual focus area, which can fill the blank of current multi-user visual focus cognitive evaluation.

Key words: fashion, eye tracker, common cognition, individual difference, vision hot map

中图分类号: 

  • TS942.8

图1

服饰相关视觉场景图"

图2

SMI RED桌面式眼动仪"

图3

视觉热区提取示意图"

图4

视觉热区融合示意图"

图5

视觉热区漂移度测算示意图"

图6

视觉场景视觉漂移度评价结果"

[1] TUPIKOVSKAJA-OMOVIE Z, TYLER D. Mobile consumer shopping journey in fashion retail: eye tracking mobile apps and websites[C]// Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications.Warsaw: ACM Special Interest Ltd, 2018: 253-259.
[2] 郑晶晶, 季晓芬. 消费者对服装陈列的视觉感知[J]. 纺织学报, 2016,37(3):160-165.
ZHENG Jingjing, JI Xiaofeng. Visual perception of consumers on clothing display[J]. Journal of Textile Research, 2016,37(3):160-165.
[3] JU H, JOHNSON K. Fashion advertisements and young women: determining visual attention using eye tracking[J]. Clothing & Textiles Research Journal, 2010,28(3):159-173.
[4] 孙菲菲, 徐平华, 丁雪梅, 等. 服饰设计视觉显著性检测[J]. 纺织学报, 2018,39(3):126-131.
SUN Feifei, XU Pinghua, DING Xuemei, et al. Visual saliency detection of clothing and accessory design[J]. Journal of Textile Research, 2018,39(3):126-131.
[5] 叶晓燕, 张得龙, 常松, 等. 视觉表象个体差异及其神经基础[J]. 心理科学进展, 2018,26(7):1186-1192.
YE Xiaoyan, ZHANG Delong, CHANG Song, et al. The individual difference of visual mental imagery and its neural basis[J]. Advances in Psychological Science, 2018,26(7):1186-1192.
[6] 康丽娟. 眼动实验在设计研究中的应用误区与前景:基于国内研究现状的评述[J]. 装饰, 2017(8):122-123.
KANG Lijuan. Application misunderstanding and prospect of eye-tracking experiment in the design research: review on domestic researches[J]. Zhuangshi, 2017(8):122-123.
[7] BROADBENT D E. Perception and communication[J]. Nature, 1958,182(4649):1572-1572.
[8] OHLY H, WHITE M P, WHEELER B W, et al. Attention restoration theory: a systematic review of the attention restoration potential of exposure to natural environments[J]. Journal of Toxicology & Environmental Health Part B Critical Reviews, 2016,19(7):1-3.
[9] SAIJO N, TOSU T, MORIMURA K, et al. Evaluation of store layout using eye tracking data in fashion brand store[C]// International Conference on Social Computing and Social Media. Melbourne: ICSSR Ltd, 2018: 131-145.
[10] AMATULLI C, GUIDO G, MILETI A, et al. Mix-and-match fashion trend and luxury brand recognition: an empirical test using eye-tracking[J]. Journal of Dress Body & Culture, 2015,20(3):1-22.
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