Web3d Learning Platform of Furniture Layout Based on Case-Based Reasoning and Distance Field

Abstract

For non-professional designers, it is a difficult task to arrange furniture to the right position without the interior designer’s guidance. We have developed a web3d learning platform of furniture layout, which can automatically generate a reasonable layout to help people learn knowledge of interior design and improve efficiency. First the non-rectangular room shape normalization algorithms are proposed. Next, four layout modes, namely, coupled mode, enclosed mode, matrix mode and circular mode are introduced; the coupled mode and enclosed mode are solved using the case-based reasoning and distance field, respectively. Finally the furniture layout algorithm of non-rectangular bedroom and that of non-rectangular living room are given. The experimental results show that layout results of the algorithms are similar to the real designs of non-rectangular room, and the running time of the algorithms can meet the needs of the online furniture layout.