Hierarchical Salient Object Detection for Assisted Grasping
Fraunhofer FKIE（弗劳恩霍夫通信、信息处理和人机工程学研究所）；Bonn-Aachen Int. Center for Information Technology (b-it)（波恩-亚琛国际信息技术中心）
英文摘要：
Visual scene decomposition into semantic entities is one of the major challenges when creating a reliable object grasping system. Recently, we introduced a bottom-up hierarchical clustering approach which is able to segment objects and parts in a scene. In this paper, we introduce a transform from such a segmentation into a corresponding, hierarchical saliency function. In comprehensive experiments we demonstrate its ability to detect salient objects in a scene. Furthermore, this hierarchical saliency defines a most salient corresponding region (scale) for every point in an image. Based on this, an easy-to-use pick and place manipulation system was developed and tested exemplarily.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
