TEXTURE-BASED SEPARATION TO REFINE BUILDING MESHES
Abstract. In this paper, we present a texture-based separation approach to refine building meshes, which aims to address the challenges of detecting and isolating different objects in an indoor scene mesh. We propose a novel segmentation model based on the materials of the different parts of the scene. The proposed approach uses factorization-based texture segmentation to separate the different materials in the meshes and detect the edges on the segmented texture. To prevent large faces containing multiple materials from being segmented wrongly, the mesh is cut along the texture boundaries and new faces with a single material are created. Finally, we segment the new faces based on the material index and neighbouring faces using a region-growing algorithm. We evaluate the proposed approach on the Matterport indoor dataset, which shows that our approach performs well on detecting boundaries between distinct materials, but over-segments on complex shapes. Our proposed method improves the segmentation of large flat surfaces like posters or rugs.
- 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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TEXTURE-BASED SEPARATION TO REFINE BUILDING MESHES ; volume:X-1/W1-2023 ; year:2023 ; pages:479-485 ; extent:7
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; X-1/W1-2023 (2023), 479-485 (gesamt 7)
- Urheber
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Vermandere, J.
Bassier, M.
Vergauwen, M.
- DOI
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10.5194/isprs-annals-X-1-W1-2023-479-2023
- URN
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urn:nbn:de:101:1-2023120703274501890552
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:35 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Vermandere, J.
- Bassier, M.
- Vergauwen, M.
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