International Conference on Computer Vision
Structural saliency: The detection of globally salient structures using a locally connected network
作者:
A Sha'Asua，S Ullman
关键词:
EQUIPMENT；*DETECTION；*COMPUTATIONS；*IMAGES；*PERCEPTION(PSYCHOLOGY)；*SCANNING；RESOURCES；PARTS；ITERATIONS；CURVATURE
摘要:
Certain salient structures in images attract our immediate attention without requiring a systematic scan. We present a method for computing saliency by a simple iterative scheme, using a uniform network of locally connected processing elements. The network uses an optimization approach to produce a "saliency map," a representation of the image emphasizing salient locations. The main properties of the network are: (i) the computations are simple and local, (ii) globally salient structures emerge with a small number of iterations, and (iii) as a by-product of the computations, contours are smoothed and gaps are filled in.
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