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

Authors

Peihua Song, School of Software Engineering, Tongji University, Shanghai 201804, China;
Jinyuan Jia, School of Software Engineering, Tongji University, Shanghai 201804, China;

Abstract

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.

Recommended Citation

Song, Peihua and Jia, Jinyuan (2019) "Indoor Scene Generation Based on Case-based Reasoning and Collaborative Filtering," Journal of System Simulation: Vol. 31: Iss. 2, Article 12.
DOI: 10.16182/j.issn1004731x.joss.18-VR0699
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss2/12

First Page

263

Revised Date

2018-10-22

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-VR0699

Last Page

274

CLC

TP391.9

Recommended Citation

Song Peihua, Jia Jinyuan. Indoor Scene Generation Based on Case-based Reasoning and Collaborative Filtering[J]. Journal of System Simulation, 2019, 31(2): 263-274.

DOI

10.16182/j.issn1004731x.joss.18-VR0699