Interactive Experience Construction of Brand Packaging Based on Computer Vision

Abstract

An excellent packaging design can better market goods, and the effective integration of interactive packaging design and emotional experience can effectively convey the information of goods and realize the deep integration with consumers' emotions. Image feature extraction is an important basis for high-level image information analysis and decision-making, and its representation performance directly determines the efficiency and accuracy of actual image processing problems. In this article, the feature extraction algorithm of packaging image based on computer vision and computer aided design (CAD) is proposed, and the packaging CAD design process is improved by combining the emotion recognition model of packaging image. In the aspect of packaging image fusion, this article first uses image feature extraction to extract the effective feature information from the source image, and then fuses according to some fusion rules. The simulation results show that this model has good practicability and high accuracy for image emotion recognition, and can provide technical support for brand packaging image processing. The application of computer vision and CAD improves the interactive experience of brand packaging design process.