Research on Product Advertising design Combining Feature Extraction Technology and Web3D Technology

Abstract

This work, built on the Unity3D development platform, presents a way for merging feature extraction technology and Web3D technology into advertising design in order to effectively address the issues of poor efficiency and distortion in the field. Using the candidate text layout generating technique of visual salience, we first built the vector function set based on the three main colours, and then we produced the visual communication partition model of advertising design. Second, the number of feature parameters of the shape advertising design is obtained via the establishment of coding coefficient constraint features and the use of an upgraded neural network technique to extract local feature parameter information about the product. Finally, the product design model is brought to life using Web3D technology to boost advertising design's productivity and accuracy. Experiments show that not only does this method result in a high rate of correct product identification, but it also offers a fresh viewpoint on the visual communication of product advertising design by merging the two disciplines.