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<p>A framework for comprehensive aesthetic evaluation of product forms based on images is proposed, emphasizing interpretability and process automation. Starting from visual cognition and visual-organization principles, the method extracts shape-control cues from product images via segmentation and contour processing, and then operationalizes these cues as a set of aesthetic indices. The indices are integrated into a single score using grey relational analysis (GRA), where each weight has an explicit index-level meaning. We evaluate the framework on a car-front case study using large-scale online ratings. By comparing model outputs with large-scale online user ratings, the results indicate that the proposed approach can achieve efficient computation while maintaining a statistically significant positive association with large-scale online ratings. Overall, the framework links principle-oriented graphical descriptions with image-derived measurements, enabling automated assessment with interpretable index contributions and supporting broader applications in product-form design research.</p>

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Image-based comprehensive aesthetic evaluation of product forms

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月31日

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  • Jinyan Ouyang,
  • Weitang Wang,
  • Rui Zhang,
  • Jianning Su,
  • Shutao Zhang,
  • Aimin Zhou

摘要

A framework for comprehensive aesthetic evaluation of product forms based on images is proposed, emphasizing interpretability and process automation. Starting from visual cognition and visual-organization principles, the method extracts shape-control cues from product images via segmentation and contour processing, and then operationalizes these cues as a set of aesthetic indices. The indices are integrated into a single score using grey relational analysis (GRA), where each weight has an explicit index-level meaning. We evaluate the framework on a car-front case study using large-scale online ratings. By comparing model outputs with large-scale online user ratings, the results indicate that the proposed approach can achieve efficient computation while maintaining a statistically significant positive association with large-scale online ratings. Overall, the framework links principle-oriented graphical descriptions with image-derived measurements, enabling automated assessment with interpretable index contributions and supporting broader applications in product-form design research.