基于清晰度信息与灰度差异熵的高层住宅场景可视化三维BIM虚拟重建模型  被引量:1

Virtual 3D BIM Reconstruction Model of High-rise Residential Scene Visualization based on Clarity Information and Gray Difference Entropy

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作  者:宋佳宁 SONG Jianing(Shaanxi Railway Engineering Vocational and Technical College,Weinan 714009,China)

机构地区:[1]陕西铁路工程职业技术学院,陕西渭南714009

出  处:《粉煤灰综合利用》2023年第2期10-15,共6页Fly Ash Comprehensive Utilization

摘  要:为实现高层住宅场景的合理规划,提升高层住宅场景三维模型可视化效果,提出基于清晰度信息与灰度差异熵的高层住宅场景可视化三维BIM虚拟模型构建方法。高层住宅场景建模前准备模块通过相似度特征匹配方法,构建高层住宅场景BIM信息库;BIM三维虚拟模型构建模块以该信息库为依据,构建高层住宅场景的BIM三维虚拟模型,可视化场景渲染模块在浏览器端对该模型进行重建渲染后,采用灰度差异熵方法增强渲染后的高层住宅场景的BIM三维虚拟模型图像,并通过清晰度信息进行模型可视化效果判断。测试结果显示:该模型能够依据实际情况完成高层住宅场景的BIM三维虚拟重建,可极大程度提升构建后模型的视觉效果,标准差和平均梯度结果均在标准范围内;清晰度结果均在0.926以上,可视化效果良好。In order to achieve the reasonable planning of high-rise residential scene and improve the visualization effect of high-rise residential scene 3D model,a construction method of high-rise residential scene vital 3D BIM model based on clarity information and gray difference entropy is proposed.The preparation module of high-rise residential scene modeling constructs the BIM information base of high-rise residential scene through similarity feature matching method;The vital 3D BIM model building module builds the vital 3D BIM model of high-rise residential scene based on the information base.After the visual scene rendering module reconstructs and renders the model at the browser end,the gray difference entropy method is used to enhance the vital 3D BIM model image of the rendered high-rise residential scene,and the model visualization effect is judged through the clarity information.The test results show that the model can complete the vital 3D BIM reconstruction of high-rise residential scenes according to the actual situation,which can greatly improve the visual effect of the model after construction,and the standard deviation and average gradient results are within the standard range;The clarity results are all above 0.926,and the good visualization effect.

关 键 词:清晰度信息 灰度差异熵 高层住宅场景 可视化 三维BIM 虚拟重建 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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