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.