Recognition and Understanding of Architectural Drawings: Model and Algorithm

Lu Tong, Xi Xiaopeng, Rui Ming, Cai Shijie, and Dou Wanchun

Journal of Computer Research and Development > 2005 > 42(1): 144-152.

Lu Tong, Xi Xiaopeng, Rui Ming, Cai Shijie, and Dou Wanchun. Recognition and Understanding of Architectural Drawings: Model and Algorithm[J]. Journal of Computer Research and Development, 2005, 42(1): 144-152.

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Recognition and Understanding of Architectural Drawings: Model and Algorithm

Lu Tong, Xi Xiaopeng, Rui Ming, Cai Shijie, and Dou Wanchun

(State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093)

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Published Date: January 14, 2005

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Abstract

Abstract

Existing methods of recognition and understanding of architectural drawings suffer from the mitations of sensitivity to noise and bad generality, which makes precise analysis and econstruction much more difficult. Analyzing the semantic content of architecture and simulating the way human read architectural drawings, an efficient self-incremental axis-net-based hierarchical recognition (SINEHIR) model is proposed. SINEHIR recognizes each class of architectural components sequentially, driven by recognized components in the drawing which is incrementally simplified by eliminating the interference of previous recognition. Also presented are feature-based symbol recognition method, symbol-based axes net recognition method, section-tracking-based node recognition method, semantic-relation-based segment recognition method, geometry-based combined component recognition method, and inheritance-based data transition method of SINEHIR.
- architectural drawing,
- recognition,
- understanding,
- SINEHIR model

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[3]	Liu Qiao, Han Minghao, Yang Xiaohui, Liu Yao, Wu Zufeng. Representation Learning Based Relational Inference Algorithm with Semantical Aspect Awareness[J]. Journal of Computer Research and Development, 2017, 54(8): 1682-1692. DOI: 10.7544/issn1000-1239.2017.20170200
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[5]	Zhang Yingjie, Gong Zhonghan. Hybrid Differential Evolution Gravitation Search Algorithm Based on Threshold Statistical Learning[J]. Journal of Computer Research and Development, 2014, 51(10): 2187-2194. DOI: 10.7544/issn1000-1239.2014.20130395
[6]	Wu Yan, Zhang Qi, and Huang Xuanjing. Selecting Expansion Terms as a Set Via Integer Linear Programming[J]. Journal of Computer Research and Development, 2013, 50(8): 1737-1743.
[7]	Pu Qiang, He Daqing, Yang Guowei. An Estimation of Query Language Model Based on Statistical Semantic Clustering[J]. Journal of Computer Research and Development, 2011, 48(2): 224-231.
[8]	Liu Dayou, Yu Peng, Gao Ying, Qi Hong, and Sun Shuyang. Research Progress in Statistical Relational Learning[J]. Journal of Computer Research and Development, 2008, 45(12): 2110-2119.
[9]	Zhou Hongwei, Zhang Chengyi, and Zhang Minxuan. A Method of Statistics-Based Cache Leakage Power Estimation[J]. Journal of Computer Research and Development, 2008, 45(2): 367-374.
[10]	Xu Cunlu, Chen Yanqiu, Lu Hanqing. Statistical Landscape Features for Texture Retrieval[J]. Journal of Computer Research and Development, 2006, 43(4): 702-707.