Method for Generating Indoor 3D Scene Graphs Based on Instance Features and Relationship Encoding
Abstract. A 3D scene graph is a compact and explicit representation in scene analysis. In today’s 3D scene graph prediction methods, the feature encoding method of nodes and edges is relatively simple, which essentially hinders the network from fully learning 3D point cloud features. In this paper, we propose a 3D scene graph task framework that fully expresses node and edge features, trying to meet the requirements of fully utilizing point cloud features to achieve high-precision prediction. Experimental results show that with the help of the new representation method, the prediction performance of 3D scene graphs has been significantly improved.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Method for Generating Indoor 3D Scene Graphs Based on Instance Features and Relationship Encoding ; volume:XLVIII-1-2024 ; year:2024 ; pages:135-140 ; extent:6
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-1-2024 (2024), 135-140 (gesamt 6)
- Urheber
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Du, Han
Cai, Benhe
Li, Xiaoming
Wang, Weixi
Tang, Shengjun
- DOI
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10.5194/isprs-archives-XLVIII-1-2024-135-2024
- URN
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urn:nbn:de:101:1-2405160445138.417454646449
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 11:00 MESZ
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Beteiligte
- Du, Han
- Cai, Benhe
- Li, Xiaoming
- Wang, Weixi
- Tang, Shengjun
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