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ScanNet – Richly-annotated 3D Reconstructions of Indoor Scenes

ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface Reconstructions, and instance-level semantic segmentations. To collect this data, we designed an easy-to-use and scalable RGB-D capture system that includes automated surface reconstruction and crowdsourced semantic annotation. We show that using this data helps […]

The post ScanNet – Richly-annotated 3D Reconstructions of Indoor Scenes appeared first on Aneddotica Magazine - Collaborative Blog since 2012.



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ScanNet – Richly-annotated 3D Reconstructions of Indoor Scenes

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