Application of Computer 3D Image Vision Technology in Intelligent Retrieval System

This article introduces the shortcomings of the current search engine. A personalized information retrieval system model based on 3D image vision technology is presented. This paper proposes a personalized information search architecture based on intelligent agent. The method uses the upper computer to calculate and operate, the bottom computer to interact with the user and display the query results. The general framework of the software and the concrete implementation scheme of each function module are given. In this method, a semantically based association model is constructed using the existing markup data, and it is integrated with the visual characteristics of the image. Thus, the correlation feedback is efficiently completed on two levels. The experimental results show that the method is fast, accurate and reliable.