## 3 Methodology
### Spaces Division and Extraction
#### 3.3.2 Generation of Wall Candidates
The next step in this research will to be improve the methodology by introducing algorithms to deal with complex shapes such as cylinders, curved surfaces and so on, which would make the method more robust when modeling more complicated indoor scenes. [PERSON], [PERSON] and [PERSON] generated the idea and drafted the manuscript. [PERSON] and [PERSON] carried out the analysis. [PERSON] and [PERSON] provided support in programming and data analysis. [PERSON], [PERSON] and [PERSON] contributed to analysis method and reviewed and edited the manuscript. The final draft of the manuscript was revised and approved by all of the authors. This work is supported by the National Natural Science Foundation of China (No. 41801392), the China Postdoctoral Science Foundation (No. 2018M633133, 2018M640821, and 2018M643150), the open research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (No. 17E04), the Research Program of Shenzhen S&T Innovation Committee (No. JCYJ20170412105839839) and the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation (No. KF-2018-03-066). The authors declare no conflicts of interest. ## References

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