建筑工程图识别与理解--模型与算法

建筑工程图采用二维示意式表达方式，识别和三维精确还原相对困难、提出了一种基于轴网、结构语义驱动的层次式自生长识别模型(SINEHIR模型)，在融合结构语义的基础上从先导建筑构件开始，在削减后的识别空间中结合当前识别层次的特点，分别采用基于特征的建筑符号识别方法、基于符号的轴网识别方法、基于轮廓的结点构件识别方法、基于关联语义的段构件识别方法、基于几何的组合构件识别方法和基于继承的信息传递方法，在模型约束下完成后继识别，以较小的计算量有效排除绘图噪音、提高识别率．

Recognition and Understanding of Architectural Drawings: Model and Algorithm

Existing methods of recognition and understanding of architectural drawings suffer from the limitations of sensitivity to noise and bad generality, which makes precise analysis and reconstruction 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.