3D Reconstruction of Ancient Building Structure Scene Based on Computer Image Recognition

Abstract

With the extensive application of computer image recognition (CIR), the high cost of three-dimensional (3D) models, long construction cycles, poor data visualization, and other problems have become the main bottlenecks in further development of CIR. Artificial intelligence (AI) is an important branch of computer science and has a wide range of application prospects and high practical value, especially in the field of medical and health applications of intelligent machines. This article introduces the background of 3D reconstruction of ancient architectural structure scenes, and then presents academic research and a summary on two key applications of CIR. It then summarizes 3D reconstruction and media technology in combination with AI used for medical diagnoses. In this article, the algorithm model is established, and various algorithms are proposed to provide a theoretical basis for the research of 3D reconstruction of ancient building structure scenes based on CIR.