Learning Pyramidal Feature Hierarchy for 3D Reconstruction

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  • MAHAD Fairuz Safwan
    Dept. of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
  • IWAMURA Masakazu
    Dept. of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
  • KISE Koichi
    Dept. of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University

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<p>Neural network-based three-dimensional (3D) reconstruction methods have produced promising results. However, they do not pay particular attention to reconstructing detailed parts of objects. This occurs because the network is not designed to capture the fine details of objects. In this paper, we propose a network designed to capture both the coarse and fine details of objects to improve the reconstruction of the fine parts of objects.</p>

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