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


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

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