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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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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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 |