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清华大学学报(自然科学版)  2015, Vol. 55 Issue (7): 775-781    
  汽车工程 本期目录 | 过刊浏览 | 高级检索 |
基于眼动跟踪特征的汽车造型评价方法
卢兆麟1,2, 李升波1, 徐少兵1, 成波1
1. 清华大学 汽车工程系, 汽车节能与安全国家重点实验室, 北京 100084, 中国;
2. 慕尼黑工业大学 工业设计系, 慕尼黑 80805, 德国
Automobile style evaluation based on eye tracking
LU Zhaolin1,2, LI Shengbo1, XU Shaobing1, CHENG Bo1
1. State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing 100084, China;
2. Chair of Industrial Design, Technical University of Munich, Munich 80805, Germany
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摘要 为了弥补主观性评价方法的不足, 以获得用户对于汽车造型设计的客观性评价, 提出了一种基于眼动跟踪特征的汽车造型评价方法。以眼动热点图为基础构建车型评价指标体系, 包括对热点图进行背景剥离, 通过“色度-饱和度-亮度(HSV)”模型提取其颜色特征, 并计算其灰度直方图的各项统计值;进一步将汽车造型的评价定义为二分类问题, 运用Fisher判别建立函数模型。通过实例验证了该方法的可靠性与实用性。结果表明: 该方法总体上具有较高准确度, 为实现汽车造型评价提供了一种可行的技术途径。
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卢兆麟
李升波
徐少兵
成波
关键词 汽车造型评价方法眼动跟踪技术特征提取判别函数    
Abstract:Traditional subjective evaluation methods have limited success for automotive designs. An automobile style evaluation method based on eye tracking is developed to more accurately recognize the users' objective assessment of the automotive form design. An index system is structured based on a heat map including striping the background, extracting the color characteristics using a hue-saturation-value (HSV) model and calculating the statistics of the grey level histogram. The automobile form evaluation is defined as a binary classification model with the function model built from a Fisher discriminate. The reliability and practicality of this method are validated using a test case. The results show that this method is accurate and a feasible technical approach for rapid evaluation of automotive styling.
Key wordsauto form    evaluation method    eye tracking    feature extraction    discriminate function
收稿日期: 2014-10-27      出版日期: 2015-09-18
ZTFLH:  U27  
  TP39  
通讯作者: 成波,教授,E-mail:chengbo@tsinghua.edu.cn     E-mail: chengbo@tsinghua.edu.cn
引用本文:   
卢兆麟, 李升波, 徐少兵, 成波. 基于眼动跟踪特征的汽车造型评价方法[J]. 清华大学学报(自然科学版), 2015, 55(7): 775-781.
LU Zhaolin, LI Shengbo, XU Shaobing, CHENG Bo. Automobile style evaluation based on eye tracking. Journal of Tsinghua University(Science and Technology), 2015, 55(7): 775-781.
链接本文:  
http://jst.tsinghuajournals.com/CN/  或          http://jst.tsinghuajournals.com/CN/Y2015/V55/I7/775
  表1 基于灰度直方图的统计指标
  图1 基于眼动跟踪特征的汽车造型评价方法流程
  图2 训练样本
  图3 实验场景
  图4 训练样本的眼动热点图
  图5 眼动热点图处理
  表1 样本No.1的分析结果
  表4 样本No.2的分析结果
  图6 其中一个验证样本
  表5 眼动热点图与Likert量表结果对比
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