3D sculpture technology innovation based on image segmentation algorithm

Abstract

Abstract At present, 3D modeling technology is simplified due to the improvement of image segmentation algorithm and feature point detection and other related technologies, so it is widely used in major museums. For example, science and technology museums can display emerging scientific and technological models by using 3D modeling, while museums and art galleries can display works of art and antiques by using 3D modeling. By using 3D modeling to display, tourists can effectively enhance the sense of substitution. 3D sculpture is a brand new product under this technical background, which can enhance the vividness of the exhibition of works in the Expo Park, thus bringing tourists a better tour experience. Based on this background, this study introduces the image segmentation algorithm to adjust and optimize 3d sculpture works, and introduces the main optimization process. Then, modeling, modification and model reconstruction are carried out through the collection and calculation of multi angle pictures. In this process, file content import, model data import and 3d object image import are required. The simulation results show that the optimized 3d model can effectively improve the frame rate performance of the model, but also reduce the volume, number of faces and vertex points of the model to a certain extent. It is an effective and innovative research work to optimize 3d sculpture by using image segmentation algorithm. This paper introduces the image segmentation algorithm into the field of 3d sculpture to achieve technological innovation.