Engineering drawing processing and vectorization system
Computer Vision, Graphics, and Image Processing
A new approach for detection of dimensions set in mechanical drawings
Pattern Recognition Letters
Recognition and integration of dimension sets in vectorized engineering drawings
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Dimension Sets in Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of Engineering Drawings: State of the Art and Challenges
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Graphic Symbol Recognition: An Overview
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
A Constraint Network for Symbol Detection in Architectural Drawings
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Structural and Syntactic Methods in Line Drawing Analysis: To Which Extent Do They Work?
SSPR '96 Proceedings of the 6th International Workshop on Advances in Structural and Syntactical Pattern Recognition
Variations on the Analysis of Architectural Drawing
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
On the use of shape grammars as expert systems for geometry-based engineering design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Consistency constraints and 3D building reconstruction
Computer-Aided Design
Generating 3D building models from architectural drawings: a survey
IEEE Computer Graphics and Applications - Special issue title on generating 3D building models a VR playground for teaching math
A system to detect rooms in architectural floor plan images
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Efficient reconstruction from architectural drawings
International Journal of Computer Applications in Technology
A new text detection algorithm for content-oriented line drawing image retrieval
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
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Current methods for recognition and interpretation of architectural drawings are limited to either low-level analysis of paper drawings or interpretation of electronic drawings that depicts only high-level design entities. In this paper, we propose a Self-Incremental Axis-Net-based Hierarchical Recognition (SINEHIR) model for automatic recognition and interpretation of real-life complex electronic construction structural drawings. We design and implement a series of integrated algorithms for recognizing dimensions, coordinate systems and structural components. We tested our approach on more than 200 real-life drawings. The results show that the average recognition rate of structural components is about 90%, and the computation time is significantly shorter than manual estimation time.