Learning graph affinities for spectral graph-based salient object detection
نویسندگان
چکیده
Computer vision and pattern recognition techniques based on graph theory constitute a wellestablished research area due mainly to their success in efficiently representing and solving many related problems such as image segmentation [1], [2] and saliency estimation [9]. Graph construction for the related problems is traditionally performed manually. This construction involves three major steps: (1) defining the nodes of a graph, (2) defining the links/edges between the nodes according to a ABSTRACT
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عنوان ژورنال:
- Pattern Recognition
دوره 64 شماره
صفحات -
تاریخ انتشار 2017