Recovering an indoor 3D layout with top-down semantic segmentation from a single image
SCIE
SCOPUS
- Title
- Recovering an indoor 3D layout with top-down semantic segmentation from a single image
- Authors
- Park, SJ; Hong, KS
- Date Issued
- 2015-12-15
- Publisher
- ELSEVIER SCIENCE BV
- Abstract
- In this paper, we propose a framework to recover a 3D cuboidal indoor scene with a novel detector-based semantic segmentation feature and a carefully-modified orientation map. We use those features to mimic the ability of humans to recognize a 3D layout from a single image. We define all the potentials in our model under a conditional random field formulation. Our experimental results show the effectiveness of our new features which complement the limitations of existing bottom-up geometric features while achieving the state-of-the-art layout accuracy on the indoor UIUC dataset. (C) 2015 Elsevier B.V. All rights reserved.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/35742
- DOI
- 10.1016/J.PATREC.2015.08.014
- ISSN
- 0167-8655
- Article Type
- Article
- Citation
- PATTERN RECOGNITION LETTERS, vol. 68, page. 70 - 75, 2015-12-15
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