摘要
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.
In order to generate reasonable furniture layouts in complicated indoor scenes automatically,weproposed a data-driven method for automatic indoor areas layout calculation.Given examples of sensibly furnishedindoor scenes,we first extract layout information as prior,and then train a layout-constraint model.Afterwards,we construct an energy function which describes the reasonableness for indoor functional areas layoutby combining the layout-constraint model with hard layout constraints.Finally,the energy function is optimizedby stochastic optimization.Experimental results show that our method can generate reasonable furniturelayout in complicated indoor space without specifying constraints for layout beforehand.
作者
刘米兰
蒋浩
许威威
徐明亮
毛天露
王兆其
Liu Milan;Jiang Hao;Xu Weiwei;Xu Mingliang;Mao Tianlu;Wang Zhaoqi(Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190;Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190;University of Chinese Academy of Sciences, Beijing 100049;Department of Computer Science, Zhejiang University, Hangzhou 311121;Center for Interdisciplinary Information Science Research, Zhengzhou University, Zhengzhou 450001)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2017年第1期90-100,共11页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(61100086
61532002
61272392
61472370)
国家"八六三"高技术研究发展计划项目基金(2015AA016405)
关键词
室内建模
自动布局
三维场景
随机优化
基于案例库
interior modeling
automatic layout
3D scenes
stochastic optimization
example-based