• Laser & Optoelectronics Progress
  • Vol. 58, Issue 22, 2210018 (2021)
Xiaojuan Ning*, Zhiwei Lu, and Jie Ma
Author Affiliations
  • School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048, China
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    DOI: 10.3788/LOP202158.2210018 Cite this Article
    Xiaojuan Ning, Zhiwei Lu, Jie Ma. Coarse-to-Fine Indoor Scene Layout Division and Structure Reconstruction[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210018 Copy Citation Text show less

    Abstract

    Due to diversity of object species, complexity of object geometric information and intensiveness of object in indoor scene such that the reconstruction of the indoor scene structure has a big challenge. First, “structure analysis” is taken as the main line, and the rough division of room layout is detected by using improved random sample consensus (RANSAC) algorithm and mean shift algorithm. Then, on the basis of transforming the preliminary division results into undirected graphs, the subdivision results of room layout are obtained by using graph-cut algorithm. Finally, the overall reconstruction of the indoor scene layout is completed by combining the reconstructed wall, floor and ceiling information. The experimental results show that the reconstruction results obtained by the improved algorithms and the proposed methods are more accurate and better.