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.
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Acknowledgments
The authors appreciate the comments and suggestions of all anonymous reviewers, whose comments significantly improved this paper. This work is supported by The Key Research Projects of Central University of Basic Scientific Research Funds for Cross Cooperation (201510-02), Research Fund for the Doctoral Program of Higher Education of China (No. 2013007211-0035) and Key project in scientific and technological of Jilin Province in China (No. 20140204088GX).
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Song, P., Zheng, Y., Jia, J. (2017). Web3d Learning Platform of Furniture Layout Based on Case-Based Reasoning and Distance Field. In: Tian, F., Gatzidis, C., El Rhalibi, A., Tang, W., Charles, F. (eds) E-Learning and Games. Edutainment 2017. Lecture Notes in Computer Science(), vol 10345. Springer, Cham. https://doi.org/10.1007/978-3-319-65849-0_26
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DOI: https://doi.org/10.1007/978-3-319-65849-0_26
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