3D Image Modeling and Visual Presentation Technologies for Education

Abstract

With the extensive application of digital media and interactive technologies in the field of education, 3D image modeling and visual presentation technologies have become key tools for enhancing the learning experience. These technologies can concretize abstract educational content, assisting students in understanding complex knowledge through intuitive means. Although current 3D modeling and rendering technologies are widely applied in education, existing methods still need improvement in feature extraction, model expressiveness, and rendering efficiency, particularly in meeting the demands for real-time interaction and providing immersive learning experiences. Addressing this issue, this paper delves into 3D educational image modeling methods based on inter-layer feature learning and explores visual rendering optimization strategies for 3D educational image scenes. By improving the capability of deep learning models to process educational content and optimizing the rendering process to support real-time interaction in large-scale scenes, this research aims to provide more accurate and efficient teaching tools, thereby enhancing the efficiency and quality of teaching and learning. The results indicate that the proposed methods significantly improve model detailing and rendering speed while ensuring visual effects, offering substantial practical significance in enhancing interactivity and immersion in educational technology.