Title :
Dimension recognition and geometry reconstruction in vectorization of engineering drawings
Author :
Su, Feng ; Song, Jiqiang ; Tai, Chiew-Lan ; Cai, Shijie
Author_Institution :
State Key Lab. for Novel Software Technol., Nanjing Univ., China
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.
Keywords :
engineering graphics; image recognition; image reconstruction; coordinate grid structure; dimension recognition; dimension symbols; engineering drawings vectorization; geometry reconstruction; potential dimension frames; reconstruction algorithm; two-dimensional spatial constraints; Computational geometry; Computer science; Engineering drawings; Goniometers; Graphics; Image converters; Image reconstruction; Laboratories; Length measurement; Reconstruction algorithms;
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1272-0
DOI :
10.1109/CVPR.2001.990545