Proceedings of the 8th International Conference on Arts, Design and Contemporary Education (ICADCE 2022)

Purpose: In order to make product prototype design meet the perceptual cognition and emotional needs of consumers and guide new technologies to intervene in cultural design innovation, a multi-level matching generation system of feature language and form is proposed exploratively from computer image splicing technology.

Methods: Firstly, taking the crane as the research object, this study analyzes the decorative language symbols of the crane on ancient relics, extracts natural morphological features of the crane, and divides the structural levels based on topological structure analysis to establish a database of characteristic language of cranes. Secondly, this study constructs a mapping relationship among the characteristic language of the artefact, aesthetic style and scene expression based on perceptual cognition through perceptual imagery analysis, and establishes an imagery language database. Finally, based on the SURF feature point matching generation mechanism, the imagery style is integrated to complete the final design.

Conclusion: The multi-level matching and generation system of feature language and form is used to effectively meet the perceptual cognition and emotional needs of consumers, match and fuse the biological characteristics of crane with the product feature variables, improve the design efficiency, and provide a reference for ceramic cultural product design.