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Attention-based Act...
Attention-based Active 3D Point Cloud Segmentation
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- Johnson-Roberson, Matthew (author)
- KTH,Centrum för Autonoma System, CAS,Datorseende och robotik, CVAP
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- Bohg, Jeannette, 1981- (author)
- KTH,Datorseende och robotik, CVAP,Centrum för Autonoma System, CAS
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- Björkman, Mårten (author)
- KTH,Centrum för Autonoma System, CAS,Datorseende och robotik, CVAP
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- Kragic, Danica (author)
- KTH,Centrum för Autonoma System, CAS,Datorseende och robotik, CVAP
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(creator_code:org_t)
- 2010
- 2010
- English.
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In: IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010). - 9781424466757 ; , s. 1165-1170
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
Close
- In this paper we present a framework for the segmentation of multiple objects from a 3D point cloud. We extend traditional image segmentation techniques into a full 3D representation. The proposed technique relies on a state-of-the-art min-cut framework to perform a fully 3D global multi-class labeling in a principled manner. Thereby, we extend our previous work in which a single object was actively segmented from the background. We also examine several seeding methods to bootstrap the graphical model-based energy minimization and these methods are compared over challenging scenes. All results are generated on real-world data gathered with an active vision robotic head. We present quantitive results over aggregate sets as well as visual results on specific examples.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- GRAPH CUTS
- ENERGY MINIMIZATION
- VISION
- Information technology
- Informationsteknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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