Vectorization Analysis of Cultural Creative Design Based on the Recognition Model of Virtual Reality Technology

Abstract

In order to solve the problem of large color matching errors exhibited in the previous color matching system, this study proposes a special color automatic matching system for cultural and creative products based on virtual reality technology. In this study, virtual reality technology (Technology) is applied to the proposed system design. Based on the three-tier architecture, the system framework is designed. The architecture includes a data access layer, a business logic layer, and a presentation layer. The hardware includes a spectrophotometer, a central processing unit, a storage device, and a virtual reality somatosensory interaction device, and the four key devices are introduced in detail. The software part takes the BP neural network algorithm as the core, trains and processes the three color values, constructs the automatic color matching model of cultural and creative products according to the training results, and realizes the logical operation and analysis of the system software. The experimental results show that although there is still a certain error between the color matching of the cultural and creative products output by the system and the actual color matching of the test samples, the maximum absolute error of the matching is relatively small, both of which are less than 0.05, which proves the effectiveness of the research to a certain extent. The error between the 6 groups of actual matching samples and the predicted matching samples is <1.5, which proves that the color difference is related to human vision, indicating that the matched samples have no color difference and achieve the expected effect. Although there are some errors between the designed system and the expected color matching, the error is small, so the color difference does not affect the visual presentation effect.