Paper Info
Title
Dimension Recognition And Geometry Reconstruction In Vectorization Of Engineering Drawings
Abstract
This paper presents a novel approach for recognizing and interpreting dimensions in engineering drawings. It starts by detecting potential dimension frames, each comprising only the line and text components of a dimension, then verifies them by detecting the dimension symbols. By removing the prerequisite of symbol recognition from detection of dimension sets, our method is capable of handling low quality drawings. We also propose a reconstruction algorithm for rebuilding the drawing entities based on the recognized dimension annotations. A coordinate grid structure is introduced to represent and analyze two-dimensional spatial constraints between entities; this simplifies and unifies the process of rectifying deviations of entity dimensions induced during scanning and vectorization.
Year
DOI
Venue
2001
10.1109/CVPR.2001.990545
2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS
Keywords
Field
DocType
length measurement,goniometers,computer science,image reconstruction,computational geometry,engineering graphics,graphics,image recognition,engineering drawings
Symbol recognition,Engineering drawing,Computer science,Computational geometry,Vectorization (mathematics),Reconstruction algorithm,Artificial intelligence,Geometry,Graphics,Iterative reconstruction,Computer vision,Pattern recognition,Length measurement,Grid
Conference
ISSN
Citations 
PageRank 
1063-6919
6
0.53
References 
Authors
9
4
Name
Order
Citations
PageRank
Feng Su117018.63
Jiqiang Song237320.18
Chiew-Lan Tai3164077.68
Shijie Cai421817.02