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Matterport3D
Computer-Vision-Research-Project (GitHub)
• Computer-Vision-Research-Project (Wiki)
• LVSN (Research Laboratory)
• Institut intelligence et données (IID) (research Institute)
• Sentinelle Nord (Project)
• J-F Lalonde Group (Team)
• Algorithmic Photography (Course)
isabelleysseric (GitHub)
• isabelleysseric.com (Portfolio)
• isabelleysseric (LinkedIn)
The Matterport3D dataset is a large RGB-D dataset for scene understanding in indoor environments. It contains 10,800 panoramic views inside 90 real building-scale scenes, constructed from 194,400 RGB-D images. Each scene is a residential building consisting of multiple rooms and floor levels, and is annotated with surface construction, camera poses, and semantic segmentation.[1]
[1] Article Matterport3D dataset on Paper With Code website.
Computer-Vision-Research-Project (GitHub)
• Computer-Vision-Research-Project (Wiki)
• LVSN (Research Laboratory)
• Institut intelligence et données (IID) (research Institute)
• Sentinelle Nord (Project)
• J-F Lalonde Group (Team)
• Algorithmic Photography (Course)
isabelleysseric (GitHub)
• isabelleysseric.com (Portfolio)
• isabelleysseric (LinkedIn)
Intern: Isabelle Eysseric
Supervisor: Jean-François Lalonde (Professor)
Co-Supervisor: Christophe Bolduc (Master's student)
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