التفاصيل البيبلوغرافية
| العنوان: |
Depth Estimation From a Light Field Image Pair With a Generative Model |
| المؤلفون: |
Tao Yan, Fan Zhang, Yiming Mao, Hongbin Yu, Xiaohua Qian, Rynson W. H. Lau |
| المصدر: |
IEEE Access, Vol 7, Pp 12768-12778 (2019) |
| بيانات النشر: |
IEEE, 2019. |
| سنة النشر: |
2019 |
| المجموعة: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| مصطلحات موضوعية: |
Light field, depth estimation, disparity map, epipolar plane image, stereo matching, generative model, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| الوصف: |
In this paper, we propose a novel method to estimate the disparity maps from a light field image pair captured by a pair of light field cameras. Our method integrates two types of critical depth cues, which are separately inferred from the epipolar plane images and binocular stereo vision into a global solution. At the same time, in order to produce highly accurate disparity maps, we adopt a generative model, which can estimate a light field image only with the central subaperture view and corresponding hypothesized disparity map. The objective function of our method is formulated to minimize two energy terms/differences. One is the difference between the two types of previously extracted disparity maps and the target disparity maps, directly optimized in the gray-scale disparity space. The other indicates the difference between the estimated light field images and the input light field images, optimized in the RGB color space. Comprehensive experiments conducted on real and virtual scene light field image pairs demonstrate the effectiveness of our method. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/8620996/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2019.2893354 |
| URL الوصول: |
https://doaj.org/article/b118fa90e96146d581463e6a0c387674 |
| رقم الانضمام: |
edsdoj.b118fa90e96146d581463e6a0c387674 |
| قاعدة البيانات: |
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