Title
Toward online 3-D object segmentation and mapping
Abstract
We build on recent fast and accurate 3-D reconstruction techniques to segment objects during scene reconstruction. We take object outline information from change detection to build 3-D models of rigid objects and represent the scene as static and dynamic components. Object models are updated online during mapping, and can integrate segmentation information from sources other than change detection.
Year
DOI
Venue
2014
10.1109/ICRA.2014.6907318
Robotics and Automation
Keywords
DocType
Volume
image reconstruction,image segmentation,object detection,robot vision,service robots,3D reconstruction techniques,3D rigid object models,change detection,object outline information,online 3D object mapping,online 3D object segmentation,scene reconstruction
Conference
2014
Issue
ISSN
Citations 
1
1050-4729
19
PageRank 
References 
Authors
0.74
12
3
Name
Order
Citations
PageRank
Evan V. Herbst1216486.70
Peter Henry2101045.52
Dieter Fox3123061289.74