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作 者:赵继平 林伟 ZHAO Ji-ping;LIN Wei(Chengdu College,University of Electronic Scienceand Technology of China,Chengdu Sichuan 611731,China)
出 处:《计算机仿真》2022年第6期308-312,共5页Computer Simulation
摘 要:针对传统方法轮廓坐标识别平均误差值较大,误差识别精度不高以及操作效率较低的问题,设计一种组合式建筑几何轮廓定标误差识别模型。使用基于几何基元定标的组合式建筑模型轮廓数据提取方法,以长方体、圆柱体建立的组合式建筑为例,建立长方体几何基元定标模型、圆柱体几何基元定标模型提取组合式建筑几何轮廓数据。将提取的数据作为基于支持向量回归机的几何轮廓定标误差识别方法的识别样本,实现组合式建筑几何轮廓定标误差识别。仿真测试结果显示,所设计模型对组合式建筑几何轮廓数据的提取率、提取准确率较高;几何轮廓定标误差识别精度较高,且操作效率较高,具备可应用性。In this article, a model of recognizing contour calibration error of modular building was designed. Firstly, according the data extraction method based on geometric primitive calibration, we used the modular building built by cuboids and cylinders as an example to construct the geometric primitive calibration models of cuboids and cylinders, and thus to extract the geometric contour data of modular building. And then, we took the extracted data as the recognition sample of the recognition method based on support vector regression machine, thus achieving the recognition for geometric contour calibration error. Simulation results show that the designed model has a high extraction rate and accuracy for geometric contour data of modular building. Meanwhile, this model has high recognition accuracy for geometric contour calibration error and high operation efficiency, so it is applicable widely.
关 键 词:组合式建筑 几何轮廓 定标误差 支持向量回归机 几何基元定标
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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