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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2501-2507,2536

Light field image perspective view synthesis method based on conditional generative adversarial network

Zhang Yichenga
Jing Huahuaa
Yan Taoa,b
a. School of Artificial Intelligence & Computer Science, b. Jiangsu Key Laboratory of Media Design & Software Technology, Jiangnan University, Wuxi Jiangsu 214122, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0776

Abstract

In recent years, researchers have proposed a lot of excellent view synthesis methods for light field image for view interpolation and extrapolation. However, it is still a challenging task to generate perspective views when the desired viewpoint is transitioned and rotated by a certain angle. In order to address the aforementioned challenge, this paper proposed a conditional generative adversarial network called LFIPTNet, for light field image perspective view synthesis, which used the position and pose matrix information of the target camera as a condition to guide the network to generate the desired novel perspective view. This paper proposed multiple modules to utilize camera position and pose matrix information, spatial and angular information and depth information from the MPI to generate accurate novel views. It compared LFIPTNet with three state-of-the-art methods on the proposed dataset. Comparing with the second-best StereoMag network, the PSNR value obtained by LFIPTNet was improved by 7.77 dB, and the SSIM value produced by LFIPTNet was improved by 0.35, which demonstrated that the proposed method outperforms existing state-of-the-art methods by a large margin. The ablation experiment assessed the performance of the proposed modules of LFIPTNet and confirmed the effectiveness of the proposed innovations. Extensive experiments demonstrate the effectiveness and efficiency of proposed network for predicting high-quality novel views with specified perspective transformation.

Foundation Support

国家自然科学基金资助项目(61902151)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0776
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Graphic & Image
Pages: 2501-2507,2536
Serial Number: 1001-3695(2023)08-041-2501-07

Publish History

[2023-02-14] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

张逸骋, 井花花, 晏涛. 基于条件生成对抗网络的光场图像透视视图生成算法 [J]. 计算机应用研究, 2023, 40 (8): 2501-2507,2536. (Zhang Yicheng, Jing Huahua, Yan Tao. Light field image perspective view synthesis method based on conditional generative adversarial network [J]. Application Research of Computers, 2023, 40 (8): 2501-2507,2536. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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