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Figure/ground segregation from human cues
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)
This paper presents a new embodied approach for object segmentation by a humanoid robot. It relies on interactions with a human teacher that drives the robot through the process of segmenting objects from arbitrarily complex, non-static images. Objects from a large spectrum of different scenarios were successfully segmented by the proposed algorithms.
doi:10.1109/iros.2004.1389917
dblp:conf/iros/Arsenio04
fatcat:uaa6gri2o5gc7kgitbidfwrxdy