首页|基于草图的建筑物立面精细窗户模型参数化重建方法

基于草图的建筑物立面精细窗户模型参数化重建方法

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精细的窗户模型可应用于虚拟现实、城市规划等领域,但目前的研究过于简化窗户,难以描述复杂的窗户类型及结构参数.本文提出了一种基于草图的窗户参数化模型的重建方法,预先定义好多种窗户类型并为其创建对应的语法参数,用户只需绘制窗户草图作为输入,系统依靠卷积神经网络强大的识别能力可快速识别和估计窗户的语法参数并自动生成最终的三维模型.本文采用非真实感绘制技术可以生成丰富的训练数据集,同时基于注意力机制可精确识别语法参数,实验结果验证了方法的有效性和准确性.
Procedural Reconstruction Method of Building Facade Window Model Based on Sketch
Realistic and delicate window models can be applied to virtual reality, urban planning and other fields, but the current re-search is too simplified to describe complex window types and structural parameters. This paper presents a reconstruction method of window procedural model based on sketch, which defines many window types in advance and creates corresponding grammar parame-ters for them. Users only need to draw window sketch as input and the system can quickly identify and estimate the grammar parame-ters of windows and automatically generate the final 3D model by relying on the powerful recognition ability of convolutional neural net-work. This paper uses non-realistic rendering technology to generate rich training datasets, and based on attention mechanism, can accurately identify grammar parameters. Experimental results verify the effectiveness and accuracy of the method.

sketch modelingprocedural modelconvolutional neural networkwindow

冯勃

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西南交通大学 地球科学与环境工程学院,四川 成都611756

草图建模 参数化模型 卷积神经网络 窗户

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(3)
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