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Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning
Joint Authors
Xu, Tao
Cai, Lei
Luo, Peien
Zhou, Guangfu
Chen, Zhenxue
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Compared with traditional imaging, the light field contains more comprehensive image information and higher image quality.
However, the available data for light field reconstruction are limited, and the repeated calculation of data seriously affects the accuracy and the real-time performance of multiperspective light field reconstruction.
To solve the problems, this paper proposes a multiperspective light field reconstruction method based on transfer reinforcement learning.
Firstly, the similarity measurement model is established.
According to the similarity threshold of the source domain and the target domain, the reinforcement learning model or the feature transfer learning model is autonomously selected.
Secondly, the reinforcement learning model is established.
The model uses multiagent (i.e., multiperspective) Q-learning to learn the feature set that is most similar to the target domain and the source domain and feeds it back to the source domain.
This model increases the capacity of the source-domain samples and improves the accuracy of light field reconstruction.
Finally, the feature transfer learning model is established.
The model uses PCA to obtain the maximum embedding space of source-domain and target-domain features and maps similar features to a new space for label data migration.
This model solves the problems of multiperspective data redundancy and repeated calculations and improves the real-time performance of maneuvering target recognition.
Extensive experiments on PASCAL VOC datasets demonstrate the effectiveness of the proposed algorithm against the existing algorithms.
American Psychological Association (APA)
Cai, Lei& Luo, Peien& Zhou, Guangfu& Xu, Tao& Chen, Zhenxue. 2020. Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1138973
Modern Language Association (MLA)
Cai, Lei…[et al.]. Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1138973
American Medical Association (AMA)
Cai, Lei& Luo, Peien& Zhou, Guangfu& Xu, Tao& Chen, Zhenxue. Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1138973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138973