Epipolar Plane Image Rectification and Flat Surface Detection in Light Field

Flat surface detection is one of the most common geometry inferences in computer vision. In this paper we propose detecting printed photos from original scenes, which fully exploit angular information of light field and characteristics of the flat surface. Unlike previous methods, our method does no...

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Main Authors: Lipeng Si, Hao Zhu, Qing Wang
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2017/6142795
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author Lipeng Si
Hao Zhu
Qing Wang
author_facet Lipeng Si
Hao Zhu
Qing Wang
author_sort Lipeng Si
collection DOAJ
description Flat surface detection is one of the most common geometry inferences in computer vision. In this paper we propose detecting printed photos from original scenes, which fully exploit angular information of light field and characteristics of the flat surface. Unlike previous methods, our method does not need a prior depth estimation. The algorithm rectifies the mess epipolar lines in the epipolar plane image (EPI). Then feature points are extracted from light field data and used to compute an energy ratio in the depth distribution of the scene. Based on the energy ratio, a feature vector is constructed and we obtain robust detection of flat surface. Apart from flat surface detection, the kernel rectification algorithm in our method can be expanded to inclined plane refocusing and continuous depth estimation for flat surface. Experiments on the public datasets and our collections have demonstrated the effectiveness of the proposed method.
format Article
id doaj-art-369b7e3cd06b4a02b243dae9b56c3945
institution Kabale University
issn 2090-0147
2090-0155
language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series Journal of Electrical and Computer Engineering
spelling doaj-art-369b7e3cd06b4a02b243dae9b56c39452025-02-03T01:28:12ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/61427956142795Epipolar Plane Image Rectification and Flat Surface Detection in Light FieldLipeng Si0Hao Zhu1Qing Wang2School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710072, ChinaFlat surface detection is one of the most common geometry inferences in computer vision. In this paper we propose detecting printed photos from original scenes, which fully exploit angular information of light field and characteristics of the flat surface. Unlike previous methods, our method does not need a prior depth estimation. The algorithm rectifies the mess epipolar lines in the epipolar plane image (EPI). Then feature points are extracted from light field data and used to compute an energy ratio in the depth distribution of the scene. Based on the energy ratio, a feature vector is constructed and we obtain robust detection of flat surface. Apart from flat surface detection, the kernel rectification algorithm in our method can be expanded to inclined plane refocusing and continuous depth estimation for flat surface. Experiments on the public datasets and our collections have demonstrated the effectiveness of the proposed method.http://dx.doi.org/10.1155/2017/6142795
spellingShingle Lipeng Si
Hao Zhu
Qing Wang
Epipolar Plane Image Rectification and Flat Surface Detection in Light Field
Journal of Electrical and Computer Engineering
title Epipolar Plane Image Rectification and Flat Surface Detection in Light Field
title_full Epipolar Plane Image Rectification and Flat Surface Detection in Light Field
title_fullStr Epipolar Plane Image Rectification and Flat Surface Detection in Light Field
title_full_unstemmed Epipolar Plane Image Rectification and Flat Surface Detection in Light Field
title_short Epipolar Plane Image Rectification and Flat Surface Detection in Light Field
title_sort epipolar plane image rectification and flat surface detection in light field
url http://dx.doi.org/10.1155/2017/6142795
work_keys_str_mv AT lipengsi epipolarplaneimagerectificationandflatsurfacedetectioninlightfield
AT haozhu epipolarplaneimagerectificationandflatsurfacedetectioninlightfield
AT qingwang epipolarplaneimagerectificationandflatsurfacedetectioninlightfield