Efficient incremental map segmentation in dense RGB-D maps

Efficient incremental map segmentation in dense RGB-D maps

In this paper we present a method for incrementally segmenting large RGB-D maps as they are being created. Recent advances in dense RGB-D mapping have led to maps of increasing size and density. Segmentation of these raw maps is a first step for higher-level tasks such as object detection. Current p...

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Bibliographic Details
Main Authors: Whelan, Thomas (Author), Kaess, Michael (Author), Finman, Ross Edward (Contributor), Leonard, John Joseph (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2015-06-30T15:33:22Z.
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