@inproceedings{4853e7da316b4664a7181d8a4f00a624,
title = "Using line consistency to estimate 3D indoor Manhattan scene layout from a single image",
abstract = "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.",
keywords = "3D Manhattan scene, interior layout estimation, line consistency, optimization",
author = "Chang, {Hsing Chun} and Szu-Hao Huang and Lai, {Shang Hong}",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/ICIP.2015.7351703",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "4723--4727",
booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",
address = "美國",
note = "IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
}