Non-Photorealistic Computer Graphics Library

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Found 2 item(s) authored by "Shijie Cai" Find Author on Google.

Article An Object-Oriented Progressive-Simplification-Based Vectorization System for Engineering Drawings: Model, Algorithm, and Performance

Author(s): Jiqiang Song, Feng Su, Chiew-Lan Tai, Shijie Cai.
Article: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 8, pp. 1048--1060, August, 2002.
[BibTeX] Find this paper on Google

Existing vectorization systems for engineering drawings usually take a two-phase workflow: convert a raster image to raw vectors and recognize graphic objects from the raw vectors. The first phase usually separates a ground truth graphic object that intersects or touches other graphic objects into several parts, thus, the second phase faces the difficulty of searching for and merging raw vectors belonging to the same object. These operations slow down vectorization and degrade the recognition quality. Imitating the way humans read engineering drawings, we propose an efficient one-phase object-oriented vectorization model that recognizes each class of graphic objects from their natural characteristics. Each ground truth graphic object is recognized directly in its entirety at the pixel level. The raster image is progressively simplified by erasing recognized graphic objects to eliminate their interference with subsequent recognition. To evaluate the performance of the proposed model, we present experimental results on real-life drawings and quantitative analysis using third party protocols. The evaluation results show significant improvement in speed and recognition rate.

Proceedings Dimension recognition and geometry reconstruction in vectorization of engineering drawings
Feng Su, Jiqiang Song, Chiew-Lan Tai, Shijie Cai.
IEEE Conference on Computer Vision and Pattern Recognition, pp. 710--716, Hawaii, Dec 11-13, 2001. [BibTeX]

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