Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A protocol for performance evaluation of line detection algorithms
Machine Vision and Applications - Special issue on performance evaluation
Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirical Performance Evaluation of Graphics Recognition Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector-Based Arc Segmentation in the Machine Drawing Understanding System Environment
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Performance Evaluation Protocol for Graphics Recognition Systems
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
A Really Useful Vectorization Algorithm
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Extended Summary of the Arc Segmentation Contest
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A Line Drawings Degradation Model for Performance Characterization
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Effective Multiresolution Arc Segmentation: Algorithms and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust and Accurate Vectorization of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm
Graphics Recognition. Recent Advances and New Opportunities
The third report of the arc segmentation contest
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Optimal line and arc detection on run-length representations
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
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This paper describes a method for the recognition of arcs and circles in engineering drawings and other scanned images containing linework. The approach is based on vectorizing a binary image, smoothing the vectors to a sequence of small straight lines, and then attempting to fit arcs. The software was successful in winning first prize in the arc segmentation contest held at GREC 2001, and the results are presented in the context of this evaluation.