Relaxation Strategy for the Landweber Method in Light Field Reconstruction

2020 ◽  
Author(s):  
Shan Gao
Keyword(s):  
Light Field ◽  
Field Reconstruction ◽  
Landweber Method

Robust Dense Light Field Reconstruction from Sparse Noisy Sampling

2021 ◽  
pp. 108121
Author(s):  
Wenhui Zhou ◽  
Jiangwei Shi ◽  
Yongjie Hong ◽  
Lili Lin ◽  
Ercan Engin Kuruoglu
Keyword(s):  
Light Field ◽  
Field Reconstruction

scholarly journals Inverse of Affine Radon Transform for Light Field Reconstruction From Focal Stack

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 76331-76338
Author(s):  
Jun Qiu ◽  
Xinkai Kang ◽  
Zhong Su ◽  
Qing Li ◽  
Chang Liu
Keyword(s):  
Radon Transform ◽  
Light Field ◽  
Field Reconstruction ◽  
Focal Stack

Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues

2018 ◽  
pp. 138-154 ◽  
Author(s):  
Henry Wing Fung Yeung ◽  
Junhui Hou ◽  
Jie Chen ◽  
Yuk Ying Chung ◽  
Xiaoming Chen
Keyword(s):  
Light Field ◽  
Field Reconstruction ◽  
Fast Light ◽  
Coarse To Fine

Light Field Reconstruction Using Dynamically Generated Filters

2019 ◽  
pp. 3-13
Author(s):  
Xiuxiu Jing ◽  
Yike Ma ◽  
Qiang Zhao ◽  
Ke Lyu ◽  
Feng Dai
Keyword(s):  
Light Field ◽  
Field Reconstruction

scholarly journals Maneuvering target recognition method based on multi-perspective light field reconstruction

2019 ◽  
Vol 15 (8) ◽  
pp. 155014771987065 ◽  
Author(s):  
Lei Cai ◽  
Peien Luo ◽  
Guangfu Zhou ◽  
Zhenxue Chen
Keyword(s):  
Information Fusion ◽  
Light Field ◽  
Target Recognition ◽  
Multiple Perspectives ◽  
Distributed Information ◽  
Field Reconstruction ◽  
Maneuvering Target ◽  
Maneuvering Targets ◽  
Micro Lens Array ◽  
Bidirectional Reflectance Distribution

It is difficult to reconstruct the complete light field, and the reconstructed light field can only recognize specific fixed targets. These have limited the applications of the light field in practice. To solve the problems above, this article introduces the multi-perspective distributed information fusion into light field reconstruction to monitor and recognize the maneuvering targets. First, the light field is represented as sub-light fields at different perspectives (i.e. the Multi-sensor distributed network), and sparse representation and reconstruction are then performed. Second, we establish the multi-perspective distributed information fusion under the condition of regional full-coverage constraints. Finally, the light field data from multiple perspectives are fused and the states of the maneuvering targets are estimated. Experimental results show that the light field reconstruction time of the proposed method is less than 583 s, and the reconstruction accuracy exceeds 92.447% compared with the existing spatially variable bidirectional reflectance distribution function, micro-lens array, and others. In the aspect of maneuvering target recognition, the recognition time of the algorithm in this article is no more than 3.5 s. The recognition accuracy of the algorithm in this article is up to 86.739%. Moreover, the more viewing angles used, the higher the accuracy.

scholarly journals Light field reconstruction from projection modeling of focal stack

2017 ◽  
Vol 25 (10) ◽  
pp. 11377 ◽  
Author(s):  
Chang Liu ◽  
Jun Qiu ◽  
Ming Jiang
Keyword(s):  
Light Field ◽  
Field Reconstruction ◽  
Focal Stack
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