Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (2): 263-274.doi: 10.16182/j.issn1004731x.joss.18-VR0699

• Orginal Article • Previous Articles     Next Articles

Indoor Scene Generation Based on Case-based Reasoning and Collaborative Filtering

Song Peihua, Jia Jinyuan   

  1. School of Software Engineering, Tongji University, Shanghai 201804, China
  • Revised:2018-10-22 Online:2019-02-15 Published:2019-02-15

Abstract: To solve the problem of time-consuming and single scene generation in indoor scene generation, we propose an indoor scene generation algorithm based on case-based reasoning and collaborative filtering techniques. The algorithm of functional area division is performed on the two-dimensional room floor plan. Thecase-based reasoning is used to generate 3D scenes; and the collaborative filtering is used to generate diverse indoor scenes. A scene evaluation method based on user feedback information is proposed. Experiments were carried out on the living room and bedroom to generate scenes. The experimental results show that the proposed algorithm is effective. The running time of the proposed algorithm is within 1second and is about 2% of the comparison algorithm. The algorithm can be applied to the indoor scene modeling platform.

Key words: case-based reasoning, collaborative filtering, scene generation, interior design

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