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- MAHAD Fairuz Safwan
- Dept. of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
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- IWAMURA Masakazu
- Dept. of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
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- KISE Koichi
- Dept. of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
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説明
<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>
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E105.D (2), 446-449, 2022-02-01
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390853879728077056
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- NII論文ID
- 130008149850
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- ISSN
- 17451361
- 09168532
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可