Design of Virtual Tourism Interactive Products Based on Deep Features

Abstract

The growth of tourism has correspondingly promoted the economic growth of China and promoted the growth of a series of industries related to tourism. The effective management of tourism resource information is an urgent problem to be solved at present. Traditional tourism information management adopts two-dimensional spatial data, which can no longer meet the needs of tourism development and tourists. Therefore, it is of great significance to establish 3D visual tourism scenes. As an information-intensive industry, virtual tourism based on virtual reality (VR) can not only improve the information level of the whole industry, but also promote the protection of natural and human tourism resources. This article takes experience as the path to study the emotional transformation mechanism of tourism interactive products, explores the deep features of product images with deep learning (DL) algorithm, and introduces interactive experience thinking into the research of tourism interactive product design, aiming at improving the interactive experience of tourism interactive products and expanding the research scope of computer-aided design (CAD). This method can give designers great help to specific problems, but only one method is adopted, which can only support a certain type of innovation. With the deepening of the research on innovation, the innovation problems are classified and classified, and appropriate strategies are adopted respectively.