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Related Experiment Video

Updated: Jun 24, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Generating 3D building models from architectural drawings: a survey.

Xuetao Yin¹, Peter Wonka, Anshuman Razdan

¹Arizona State University, USA. xuetao.yin@asu.edu

IEEE Computer Graphics and Applications

|April 15, 2009

Summary

This study surveys methods for creating 3D building models from 2D architectural drawings. It compares algorithms for generating these models, aiding the architecture, engineering, and construction industries.

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Last Updated: Jun 24, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Area of Science:

Computer Vision
Computational Geometry
Digital Architecture

Background:

Architectural drawings are fundamental in the Architecture, Engineering, and Construction (AEC) industry.
Converting 2D drawings to 3D models is crucial for visualization, analysis, and construction planning.
Existing methods often involve manual processes or lack comprehensive algorithmic comparisons.

Purpose of the Study:

To provide a comprehensive survey of automated 3D building model generation from 2D architectural drawings.
To analyze and compare various algorithms employed in the pipeline for this conversion process.
To offer insights into the state-of-the-art for researchers and practitioners in the AEC field.

Main Methods:

Literature review of existing research on 2D to 3D model generation.
Analysis of common pipelines, including feature extraction, recognition, and 3D reconstruction.
Comparative assessment of different algorithmic approaches for each stage of the pipeline.

Main Results:

Identification of key challenges and limitations in current automated methods.
Categorization of algorithms based on their performance and applicability.
Highlighting promising techniques for future development in 3D model generation.

Conclusions:

Automated 3D model generation from 2D drawings is a rapidly evolving field with significant potential for the AEC industry.
A systematic comparison of algorithms reveals strengths and weaknesses, guiding future research directions.
Further advancements are needed to improve robustness and accuracy for real-world applications.