Indoor scene segmentation using a structured light sensor

Indoor scene segmentation using a structured light sensor

In this paper we explore how a structured light depth sensor, in the form of the Microsoft Kinect, can assist with indoor scene segmentation. We use a CRF-based model to evaluate a range of different representations for depth information and propose a novel prior on 3D location. We introduce a new a...

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Hauptverfasser: Silberman, N., Fergus, R.
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Sprache:eng
Schlagworte:
Cameras
Feature extraction
Histograms
Image edge detection
Three dimensional displays
Training
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Fergus, R.
description In this paper we explore how a structured light depth sensor, in the form of the Microsoft Kinect, can assist with indoor scene segmentation. We use a CRF-based model to evaluate a range of different representations for depth information and propose a novel prior on 3D location. We introduce a new and challenging indoor scene dataset, complete with accurate depth maps and dense label coverage. Evaluating our model on this dataset reveals that the combination of depth and intensity images gives dramatic performance gains over intensity images alone. Our results clearly demonstrate the utility of structured light sensors for scene understanding.
doi_str_mv 10.1109/ICCVW.2011.6130298
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subjects Cameras
Feature extraction
Histograms
Image edge detection
Three dimensional displays
Training
title Indoor scene segmentation using a structured light sensor
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