A product-form aesthetic evaluation system

Quan Zhang, Changde Lu, Tong Wu, Suihuai Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An artificial neural network-based aesthetic evaluation system for product-form is presented in this paper. Fuzzy set theory and semantic difference (SD) method are applied to set up an aesthetic evaluation experiment, in which 400 product images were evaluated. First, a database of normalized images and quantitative aesthetic descriptions was constructed. Second, a back-propagation (BP) network model was constructed to learn the relationship between image spaces and quantified aesthetic words. Last, an intelligent evaluation system for product design was then developed based on the learned BP model. Applications demonstrated that the system evaluate product form-aesthetics accurately. Designers may promptly modify their design with the guidance of evaluation.

Original languageEnglish
Title of host publication2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC
DOIs
StatePublished - 2006
Event2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC - Hangzhou, China
Duration: 17 Nov 200619 Nov 2006

Publication series

Name2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC

Conference

Conference2006 7th International Conference on Computer-Aided Industrial Design and Conceptual Design, CAIDC
Country/TerritoryChina
CityHangzhou
Period17/11/0619/11/06

Keywords

  • Aesthetic evaluation
  • Artificial neural network (ANN)
  • Image
  • Product form
  • Semantic

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