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SCIENCE CHINA Information Sciences, Volume 62, Issue 2: 029102(2019) https://doi.org/10.1007/s11432-017-9473-5

Effectively modeling piecewise planar urban scenes based onstructure priors and CNN

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  • ReceivedNov 30, 2017
  • AcceptedMay 14, 2018
  • PublishedDec 21, 2018

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Key Research $\&$ Development Program of China (Grant No. 2016YFB0502002), National Natural Science Foundation of China (Grant Nos. 61333015, 61772444, 61472419), Open Project Program of the National Laboratory of Pattern Recognition (Grant No. 201700004), Natural Science Foundation of Henan Province (Grant No. 162300410347), Key Scientific and Technological Project of Henan Province (Grant No. 162102310589), and College Key Research Project of Henan Province (Grant Nos. 17A520018, 17A520019).


Supplement

Appendixes A–E.


References

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[3] Gorelick L, Boykov Y, Veksler O, et al. Submodularization for binary pairwise energies. In: Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recogition, 2014. 1154--1161. Google Scholar

  • Figure 1

    (Color online) Piecewise planar reconstruction. (a) Image $I_r$ and 2D projected points from initial 3D points (white points); (b) initial superpixels; (c) sample of resegmenting superpixels; (d) initial reliable planes; (e) initial plane assignments; (f) final plane assignments; (g) top-view; (h) superpixels corresponding to final plane assignments.

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