| Item type |
SIG Technical Reports(1) |
| 公開日 |
2024-01-18 |
| タイトル |
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タイトル |
NeDDFを用いた煙霧環境に適用可能なニューラル場単眼Visual SLAM |
| タイトル |
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言語 |
en |
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タイトル |
Monocular Visual SLAM Applicable to Smoggy Environments Using NeDDF |
| 言語 |
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言語 |
jpn |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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筑波大学知能機能システム学位プログラム |
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筑波大学エンパワーメント情報学プログラム |
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筑波大学計算科学研究センター |
| 著者所属 |
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筑波大学計算科学研究センター |
| 著者所属(英) |
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en |
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Master Program in Intelligent and Mechanical Interaction Systems, University of Tsukuba |
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en |
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Doctoral Program in Empowerment Informatics, University of Tsukuba |
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en |
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Center for Computational Sciences, University of Tsukuba |
| 著者所属(英) |
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en |
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Center for Computational Sciences, University of Tsukuba |
| 著者名 |
髙橋, 響熙
上田, 樹
謝, 淳
北原, 格
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| 著者名(英) |
Hibiki, Takahashi
Itsuki, Ueda
Chun, Xie
Itaru, Kitahara
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
We propose a monocular Visual SLAM system based on NeDDF (Neural Density-Distance Field). In contrast to previous methods using point clouds or meshes, our approach has an advantage to reconstruct objects with indistinct boundaries, such as steam, smoke, dust, and similar phenomena. Our method utilizes NeDDF as a 3D shape representation and introduces a photometric error to account for the challenging smoke environment. This approach enables the reconstruction of indoor scenes featuring low-density objects using a monocular RGB camera. To evaluate the effectiveness of our proposed method, we conduct experiments using a simulated RGB dataset of an indoor scene with smoke. |
| 論文抄録(英) |
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内容記述タイプ |
Other |
|
内容記述 |
We propose a monocular Visual SLAM system based on NeDDF (Neural Density-Distance Field). In contrast to previous methods using point clouds or meshes, our approach has an advantage to reconstruct objects with indistinct boundaries, such as steam, smoke, dust, and similar phenomena. Our method utilizes NeDDF as a 3D shape representation and introduces a photometric error to account for the challenging smoke environment. This approach enables the reconstruction of indoor scenes featuring low-density objects using a monocular RGB camera. To evaluate the effectiveness of our proposed method, we conduct experiments using a simulated RGB dataset of an indoor scene with smoke. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11131797 |
| 書誌情報 |
研究報告コンピュータビジョンとイメージメディア（CVIM）
巻 2024-CVIM-236,
号 18,
p. 1-6,
発行日 2024-01-18
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8701 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-CVIM24236018.pdf (3.4 MB)
