A dense light field reconstruction algorithm for four-dimensional optical flow constraint equation
文献类型：期刊论文
| 作者 | Liu, Jian4,5,6; Song, Na4; Xia, Zhengde1,6; Liu, Bin1,6; Pan, Jinxiao6; Ghaffar, Abdul2,3; Ren, Jianbin4; Yang, Ming4,6 |
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 134期号:-页码:- |
| 关键词 | Light field Optical flow A dense reconstruction |
| ISSN号 | 0031-3203 |
| 英文摘要 | Dense light field sampling is an important basis for refocusing, depth estimation and 3-D imaging. It is difficult to obtain high resolution dense light field with a large-scale camera array and expensive equipment. At the same time, the current storage devices and transmission bandwidth also limit this technology's post-processing and application. In order to effectively reconstruct the angle domain of the light field based on the sparse light field data, this paper analyzes the correlation and constraint relationship between the optical flow field and the motion field of multi-view images in the same scene, extends the traditional optical flow constraint equation of two-dimensional imaging to the optical flow constraint equation of four-dimensional light field, and establishes an effective mathematical model. The coordinate position of the original pixel in the new angle image is determined by coordinate search, and its intensity is reconstructed. The experimental results of multi-scene dense reconstruction show that the proposed method can reconstruct the texture, shadow and color information in the light field of a long-baseline scene with high quality. The quantitative evaluation results show that the algorithm can be applied to dense light field reconstruction of complex scenes. The algorithm in this paper is only suitable for the case of optical flow constraint in a linear light field, and the follow-up research will focus on the case of nonlinear optical flow constraint. (c) 2022 Elsevier Ltd. All rights reserved. |
| 学科主题 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000927839900010 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/35242]  |
| 专题 | 中科院武汉岩土力学所 |
| 作者单位 | 1.School of Information and Communication Engineering,North University of China,Taiyuan 030051,China 2.University of Chinese Academy of Sciences, Beijing, 100049, China 3.State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China 4.School of Mathematics, North University of China, Taiyuan 030051, China 5.Beijing Institute of Remote Sensing Equipment, Beijing, 10049, China 6.Shanxi Key Laboratory of Signal Capturing and Processing, North University of China, Taiyuan 030051, China |
| 推荐引用方式 GB/T 7714 | Liu, Jian,Song, Na,Xia, Zhengde,et al. A dense light field reconstruction algorithm for four-dimensional optical flow constraint equation[J]. PATTERN RECOGNITION,2023,134(-):-. |
| APA | Liu, Jian.,Song, Na.,Xia, Zhengde.,Liu, Bin.,Pan, Jinxiao.,...&Yang, Ming.(2023).A dense light field reconstruction algorithm for four-dimensional optical flow constraint equation.PATTERN RECOGNITION,134(-),-. |
| MLA | Liu, Jian,et al."A dense light field reconstruction algorithm for four-dimensional optical flow constraint equation".PATTERN RECOGNITION 134.-(2023):-. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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