Using line consistency to estimate 3D indoor Manhattan scene layout from a single image

Hsing Chun Chang, Szu-Hao Huang, Shang Hong Lai

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

In this paper, an optimization approach is proposed to estimate the 3D indoor Manhattan scene layout from a single input image. The proposed system models the interior space as a three-dimensional box which includes ceiling, floor, and walls. The regions corresponding to different surfaces can be calculated by projecting the 3D box onto the two-dimensional image with suitable camera and box parameters. This paper also utilizes the consistency of coplanar lines and the boundary edges between different surfaces to design a cost function. The rotation, translation, and box parameters of the interior layout can be estimated with an energy minimization process. In the experimental results, we apply the proposed algorithm to a number of real images of interior scenes to demonstrate the effectiveness of the proposed system.

原文English
主出版物標題2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
發行者IEEE Computer Society
頁面4723-4727
頁數5
ISBN(電子)9781479983391
DOIs
出版狀態Published - 9 12月 2015
事件IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
持續時間: 27 9月 201530 9月 2015

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
2015-December
ISSN(列印)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing, ICIP 2015
國家/地區Canada
城市Quebec City
期間27/09/1530/09/15

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