Abstract
One of the most important aspects of industrial manufacturing is the assessment of product appearance and quality, which frequently occurs manually. A product’s appearance can convey practical qualities, aesthetic value, and a sense of quality to consumers. This study explores the use of computer vision in the automatic generation of product appearance designs. In this study, a dolphin swarm-driven weighted random forest (DS-WRF) design approach is introduced to assist designers in improving the efficiency of product appearance design with automatic generation. In this study, we collected product image data. The data were preprocessed to resize the images. The two primary components of this method are sketched inversion and design scheme creation. The produced sketches are entered into the sketch inversion model combined with the matching color images for training. Sketches by hand are transformed into color design patterns using this approach. The experimental result demonstrates that the proposed method involves the automatic generation of product appearance designs with high quality.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call