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Sim, Jae-Young
Visual Information Processing Lab (VIP Lab)
Research Interests
  • Image processing, computer vision, 3D visual processing, signal processing

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Deep Learning Based Depth Estimation and Reconstruction of Light Field Images

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Title
Deep Learning Based Depth Estimation and Reconstruction of Light Field Images
Author
Yun, Jae-SeongSim, Jae-Young
Issue Date
2020-12-10
Publisher
APSIPA
Citation
APSIPA Annual Summit and Conference 2020
Abstract
Light field imaging is one of the most promising methods to capture realistic 3D scenes. In this paper, we propose a deep learning network composed of two sub-networks performing depth estimation and light field image reconstruction, respectively. We simultaneously train the two sub-networks by employing a loss function combining the reconstruction loss of the reconstruction network and the estimation loss of the depth estimation network. Experimental results demonstrate that the proposed method accurately estimates the disparity maps of light field images and also faithfully reconstructs light field images.
URI
https://scholarworks.unist.ac.kr/handle/201301/49042
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AI_Conference Papers
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