Developing Efficient Algorithms for Converting 2D Plans to 3D Models in AR/VR

Abstract

This paper presents the development of efficient algorithms to convert two-dimensional (2D) architectural plans and sketches into three-dimensional (3D) models for use in augmented reality (AR) and virtual reality (VR) environments. The motivation stems from the growing need for rapid prototyping and immersive visualization in architecture, gaming, and simulation. Our approach integrates advanced image processing, machine learning for feature extraction, and geometric reconstruction techniques. Comparative analysis with existing methods demonstrates a significant improvement in both conversion accuracy and processing speed. The results indicate that the proposed algorithms not only reduce computational overhead but also provide robust handling of noisy and incomplete inputs. Our work has implications for real-time rendering applications and offers a scalable solution for future AR/VR development platforms.