Attention-driven object detection and segmentation of cluttered table scenes using 2.5D symmetry

Abstract

The task of searching and grasping objects in cluttered scenes, typical of robotic applications in domestic environments requires fast object detection and segmentation. Attentional mechanisms provide a means to detect and prioritize processing of objects of interest. In this work, we combine a saliency operator based on symmetry with a segmentation method… (More)
DOI: 10.1109/ICRA.2014.6907584

5 Figures and Tables

Topics

Statistics

01020201520162017
Citations per Year

Citation Velocity: 9

Averaging 9 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.
  • Presentations referencing similar topics