基于案例库的室内区域自动布局方法

摘要

In order to generate reasonable furniture layouts in complicated indoor scenes automatically, we proposed a data-driven method for automatic indoor areas layout calculation. Given examples of sensibly fur-nished indoor scenes, we first extract layout information as prior, and then train a layout-constraint model. Af-terwards, we construct an energy function which describes the reasonableness for indoor functional areas lay-out by combining the layout-constraint model with hard layout constraints. Finally, the energy function is op-timized by stochastic optimization. Experimental results show that our method can generate reasonable furni-ture layout in complicated indoor space without specifying constraints for layout beforehand.%为了在复杂的室内空间中自动生成合理的家具布局,提出基于案例库的室内区域自动布局方法.首先从案例库中抽取先验知识,训练布局预测模型;然后将布局问题的硬约束和布局预测模型相结合,构造能量函数,以描述室内功能区域布局的合理程度;最后在目标空间中通过随机优化的方法对能量函数进行优化求解.实验结果表明,在没有提前设定布局约束的情况下,该方法能在复杂的室内空间中生成较合理的家具布局.