Evaluation of the realistic effect of image compositing to assist in curtain selection

Fong Gong Wu, Ying Jye Lee, Chien Hsu Chen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The research proposes the image compositing approach to assist in curtain selection and explores in depth the factors that influence the effect of curtain image compositing. Realistic effects were assessed by analysis of the subjective evaluations of furnishing professionals after exposure to various combinations of factor levels shown on a computer monitor. Results show that grayscale contrast, texture pattern and texture opacity are significant factors and that there are no interactions among the factors which affect the realistic effect. Furthermore, the optimum overall realistic effect with a score of 0.95 is the combination of 60% grayscale contrast with small texture pattern and 60% texture opacity. The result implies that the image compositing approach is an effective method to assist in curtain selection and greatly facilitates manufacturer communication with consumers. In addition, the overall realistic effect can also be derived from a regression model on texture realistic effect, light/darkness realistic effect and hue realistic effect. Relevance to industry: The proposed image compositing approach can be extended to industries related to furnishing such as wallpaper, carpet, floor tiling and furniture manufacturers to improve the efficiency of the traditional selection process, minimize communication time with consumers, promote sales, and enhance the degree of satisfaction for both consumers and manufacturers.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalInternational Journal of Industrial Ergonomics
Volume32
Issue number1
DOIs
Publication statusPublished - 2003 Jul 1

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Public Health, Environmental and Occupational Health

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